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Category articles

Analyzing hCov Genome Sequences: Predicting Virulence and Mutation
bioRxiv Preprint
Sawmya, S.; Saha, A.; Tasnim, S.; Toufikuzzaman, M.; Anjum, N.; Rafid, A. H. M.; Rahman, M. S.; Rahman, M. S.
2021-04-20

Functional binding dynamics relevant to the evolution of zoonotic spillovers in endemic and emergent Betacoronavirus strains
bioRxiv Preprint
Rynkiewicz, P.; Babbitt, G. A.; Cui, F.; Hudson, A. O.; Lynch, M. L.
2021-04-20

Algoritmos de minería de datos en la industria sanitaria
ArXiv Preprint
Marta Li Wang
2021-04-19

Masked Face Recognition using ResNet-50
ArXiv Preprint
Bishwas Mandal, Adaeze Okeukwu, Yihong Theis
2021-04-19

Masked Face Recognition using ResNet-50
ArXiv Preprint
Bishwas Mandal, Adaeze Okeukwu, Yihong Theis
2021-04-19

Leaf-inspired homeostatic cellulose biosensors.
In Science advances
Kim Ji-Yong, Yun Yong Ju, Jeong Joshua, Kim C-Yoon, Müller Klaus-Robert, Lee Seong-Whan
2021-Apr
Can synthetic data be a proxy for real clinical trial data? A validation study.
In BMJ open
OBJECTIVES :
SETTING :
PARTICIPANTS :
PRIMARY AND SECONDARY OUTCOME MEASURES :
RESULTS :
CONCLUSIONS :
TRIAL REGISTRATION NUMBER :
Azizi Zahra, Zheng Chaoyi, Mosquera Lucy, Pilote Louise, El Emam Khaled
2021-Apr-16
epidemiology, health informatics, information management, information technology, statistics & research methods

High-resolution genomic comparisons within Salmonella enterica serotypes derived from beef feedlot cattle: parsing the roles of cattle source, pen, animal, sample type and production period.
In Applied and environmental microbiology
Levent Gizem, Schlochtermeier Ashlynn, Ives Samuel E, Norman Keri N, Lawhon Sara D, Loneragan Guy H, Anderson Robin C, Vinasco Javier, Bakker Henk C den, Scott H Morgan
2021-Apr-16

Understanding risk factors for postoperative mortality in neonates based on explainable machine learning technology.
In Journal of pediatric surgery ; h5-index 38.0
PURPOSE :
METHODS :
RESULTS :
CONCLUSIONS :
Hu Yaoqin, Gong Xiaojue, Shu Liqi, Zeng Xian, Duan Huilong, Luo Qinyu, Zhang Baihui, Ji Yaru, Wang Xiaofeng, Shu Qiang, Li Haomin
2021-Apr-05
Machine learning, Neonatal surgery, Postoperative mortality
Differentiation between multiple sclerosis and neuromyelitis optica spectrum disorders by multiparametric quantitative MRI using convolutional neural network.
In Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia
Hagiwara Akifumi, Otsuka Yujiro, Andica Christina, Kato Shimpei, Yokoyama Kazumasa, Hori Masaaki, Fujita Shohei, Kamagata Koji, Hattori Nobutaka, Aoki Shigeki
2021-May
Deep learning, Magnetic resonance imaging, Multiparametric quantitative imaging, Multiple sclerosis, Neuromyelitis optica spectrum disorder
Selective colorimetric urine glucose detection by paper sensor functionalized with polyaniline nanoparticles and cell membrane.
In Analytica chimica acta
Lee Taeha, Kim Insu, Cheong Da Yeon, Roh Seokbeom, Jung Hyo Gi, Lee Sang Won, Kim Hyun Soo, Yoon Dae Sung, Hong Yoochan, Lee Gyudo
2021-May-08
Colorimetric paper sensor, High selectivity, Noninvasive, Polyaniline nanoparticles, Red blood cell membrane, Urine glucose

Long non-coding RNA pairs to assist in diagnosing sepsis.
In BMC genomics ; h5-index 78.0
BACKGROUND :
RESULTS :
CONCLUSION :
Zheng Xubin, Leung Kwong-Sak, Wong Man-Hon, Cheng Lixin
2021-Apr-16
Diagnostics, Long non-coding RNA, Relative expression, Sepsis, Signature

Exploring the changes of brain immune microenvironment in Alzheimer's disease based on PANDA algorithm combined with blood brain barrier injury-related genes.
In Biochemical and biophysical research communications
Lu Shiting, Kong Wei, Wang Shuaiqun
2021-Apr-14
Alzheimer’s disease, Blood brain barrier, Mutual information, PANDA

Automated caries detection with smartphone color photography using machine learning.
In Health informatics journal ; h5-index 25.0
Duong Duc Long, Kabir Malitha Humayun, Kuo Rong Fu
artificial intelligence, caries detection, computer modeling, digital imaging, image analysis, machine learning

Groundwater level modeling framework by combining the wavelet transform with a long short-term memory data-driven model.
In The Science of the total environment
Wu Chengcheng, Zhang Xiaoqin, Wang Wanjie, Lu Chengpeng, Zhang Yong, Qin Wei, Tick Geoffrey R, Liu Bo, Shu Longcang
2021-Apr-08
Groundwater level simulation, Long short-term memory (LSTM) model, Surface water, Wavelet transform (WT)
Improved outcome prediction of oropharyngeal cancer by combining clinical and MRI features in machine learning models.
In European journal of radiology ; h5-index 47.0
OBJECTIVES :
METHODS :
RESULTS :
CONCLUSION :
Bos Paula, van den Brekel Michiel W M, Gouw Zeno A R, Al-Mamgani Abrahim, Taghavi Marjaneh, Waktola Selam, Aerts Hugo J W L, Castelijns Jonas A, Beets-Tan Regina G H, Jasperse Bas
2021-Apr-08
Head and neck neoplasms, Machine learning, Magnetic Resonance Imaging, Oropharyngeal neoplasms, Radiomics, Treatment outcome

Multi-scale modeling for systematically understanding the key roles of microglia in AD development.
In Computers in biology and medicine
Ji Zhiwei, Liu Changan, Zhao Weiling, Soto Claudio, Zhou Xiaobo
2021-Apr-05
AD, Agent-based model, Microglia, Plaque, TREM2

Automatic tip detection of surgical instruments in biportal endoscopic spine surgery.
In Computers in biology and medicine
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
Cho Sue Min, Kim Young-Gon, Jeong Jinhoon, Kim Inhwan, Lee Ho-Jin, Kim Namkug
2021-Apr-14
Convolutional neural network, Deep learning, Detection, Endoscopic surgery, Localization
A deep learning approach for the automatic recognition of prosthetic mitral valve in echocardiographic images.
In Computers in biology and medicine
Vafaeezadeh Majid, Behnam Hamid, Hosseinsabet Ali, Gifani Parisa
2021-Apr-14
DCNN, Echocardiographic, EfficientNet, Prosthetic mitral valve

CaDIS: Cataract dataset for surgical RGB-image segmentation.
In Medical image analysis
Grammatikopoulou Maria, Flouty Evangello, Kadkhodamohammadi Abdolrahim, Quellec Gwenolé, Chow Andre, Nehme Jean, Luengo Imanol, Stoyanov Danail
2021-Mar-31
Cataract surgery, Dataset, Semantic segmentation

Decoding imagined speech and computer control using brain waves.
In Journal of neuroscience methods
BACKGROUND :
APPROACH :
RESULT :
CONCLUSION :
Singh Abhiram, Gumaste Ashwin
2021-Apr-14
Artificial neural network, Brain-computer interface, Electroencephalogram, Finite state MACHINE, Imagined speech

Convolutional Neural Networks Ensemble Model for Neonatal Seizure Detection.
In Journal of neuroscience methods
BACKGROUND :
NEW METHOD :
RESULTS :
COMPARISON WITH EXISTING METHODS :
CONCLUSION :
Tanveer M Asjid, Khan Muhammad Jawad, Sajid Hasan, Naseer Noman
2021-Apr-14
EEG, convolutional neural network, detection, ensemble model, neonatal, seizures

Semiparametric analysis of clustered interval-censored survival data using soft Bayesian Additive Regression Trees (SBART).
In Biometrics
Basak Piyali, Linero Antonio, Sinha Debajyoti, Lipsitz Stuart
2021-Apr-17
Bayesian Additive Regression Trees, machine learning, nonproportional hazards, semiparametric, survival analysis
Feasibility and prognostic role of machine learning-based FFRCT in patients with stent implantation.
In European radiology ; h5-index 62.0
OBJECTIVES :
METHODS :
RESULTS :
CONCLUSIONS :
KEY POINTS :
Tang Chun Xiang, Guo Bang Jun, Schoepf Joseph U, Bayer Richard R, Liu Chun Yu, Qiao Hong Yan, Zhou Fan, Lu Guang Ming, Zhou Chang Sheng, Zhang Long Jiang
2021-Apr-17
Computed tomography angiography, Coronary artery disease, Coronary restenosis, Myocardial fractional flow reserve, Stents

Exact solution to the random sequential dynamics of a message passing algorithm.
In Physical review. E
Çakmak Burak, Opper Manfred
2021-Mar

H3ABioNet genomic medicine and microbiome data portals hackathon proceedings.
In Database : the journal of biological databases and curation
Fadlelmola Faisal M, Ghedira Kais, Hamdi Yosr, Hanachi Mariem, Radouani Fouzia, Allali Imane, Kiran Anmol, Zass Lyndon, Alsayed Nihad, Fassatoui Meriem, Samtal Chaimae, Ahmed Samah, Da Rocha Jorge, Chaqsare Souad, Sallam Reem M, Chaouch Melek, Farahat Mohammed, Ssekagiri Alfred, Parker Ziyaad, Adil Mai, Turkson Michael, Benchaalia Aymen, Benkahla Alia, Panji Sumir, Kassim Samar, Souiai Oussema, Mulder Nicola
2021-Apr-17

Accuracy of a convolutional neural network for dermatologic diagnosis of tumors and skin lesions in a clinical setting.
In Clinical and experimental dermatology
Agarwala S, Mata D A, Hafeez F
2021-Apr-17

Current and future carbon stocks in coastal wetlands within the Great Barrier Reef catchments.
In Global change biology
Duarte de Paula Costa Micheli, Lovelock Catherine E, Waltham Nathan J, Young Mary, Adame Maria Fernanda, Bryant Catherine V, Butler Don, Green David, Rasheed Michael A, Salinas Cristian, Serrano Oscar, York Paul H, Whitt Ashley A, Macreadie Peter I
2021-Apr-16
blue carbon, climate change, coastal wetlands, mangroves, seagrass meadows, soil carbon stocks, tidal marshes

Exploring communication between the thalamus and cognitive control-related functional networks in the cerebral cortex.
In Cognitive, affective & behavioral neuroscience
Wen Xiaotong, Li Wen, Liu Yuan, Liu Zhenghao, Zhao Ping, Zhu Zhiyuan, Wu Xia
2021-Apr-17
Cognitive control, Dynamic functional connectivity, Effective connectivity, Middle thalamus

Deep learning to segment pelvic bones: large-scale CT datasets and baseline models.
In International journal of computer assisted radiology and surgery
PURPOSE :
METHODS :
RESULTS :
CONCLUSION :
Liu Pengbo, Han Hu, Du Yuanqi, Zhu Heqin, Li Yinhao, Gu Feng, Xiao Honghu, Li Jun, Zhao Chunpeng, Xiao Li, Wu Xinbao, Zhou S Kevin
2021-Apr-16
CT dataset, Deep learning, Pelvic segmentation, SDF post-processing

Artificial intelligence-assisted analysis of endoscopic retrograde cholangiopancreatography image for identifying ampulla and difficulty of selective cannulation.
In Scientific reports ; h5-index 158.0
Kim Taesung, Kim Jinhee, Choi Hyuk Soon, Kim Eun Sun, Keum Bora, Jeen Yoon Tae, Lee Hong Sik, Chun Hoon Jai, Han Sung Yong, Kim Dong Uk, Kwon Soonwook, Choo Jaegul, Lee Jae Min
2021-Apr-16
Data valuation for medical imaging using Shapley value and application to a large-scale chest X-ray dataset.
In Scientific reports ; h5-index 158.0
Tang Siyi, Ghorbani Amirata, Yamashita Rikiya, Rehman Sameer, Dunnmon Jared A, Zou James, Rubin Daniel L
2021-Apr-16

LoDoPaB-CT, a benchmark dataset for low-dose computed tomography reconstruction.
In Scientific data
Leuschner Johannes, Schmidt Maximilian, Baguer Daniel Otero, Maass Peter
2021-Apr-16

Detecting protein and DNA/RNA structures in cryo-EM maps of intermediate resolution using deep learning.
In Nature communications ; h5-index 260.0
Wang Xiao, Alnabati Eman, Aderinwale Tunde W, Maddhuri Venkata Subramaniya Sai Raghavendra, Terashi Genki, Kihara Daisuke
2021-Apr-16

Association between renin-angiotensin system and chronic lung allograft dysfunction.
In The European respiratory journal
Berra Gregory, Farkona Sofia, Mohammed-Ali Zahraa, Kotlyar Max, Levy Liran, Clotet-Freixas Sergi, Ly Phillip, Renaud-Picard Benjamin, Zehong Guan, Daigneault Tina, Duong Allen, Batruch Ihor, Jurisica Igor, Konvalinka Ana, Martinu Tereza
2021-Apr-16

Survival Analysis Using Surgeon Skill Metrics and Patient Factors to Predict Urinary Continence Recovery After Robot-assisted Radical Prostatectomy.
In European urology focus
BACKGROUND :
OBJECTIVE :
DESIGN, SETTING, AND PARTICIPANTS :
OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS :
RESULTS AND LIMITATIONS :
CONCLUSIONS :
PATIENT SUMMARY :
Trinh Loc, Mingo Samuel, Vanstrum Erik B, Sanford Daniel I, Aastha Ma, Runzhuo Nguyen, Jessica H Liu, Yan Hung
2021-Apr-12
Artificial intelligence, Machine learning, Prostatectomy, Robotics, Survival analysis, Urinary incontinence

Patients at high risk of suicide before and during a COVID-19 lockdown: ecological momentary assessment study.
In BJPsych open
Cobo Aurora, Porras-Segovia Alejandro, Pérez-Rodríguez María Mercedes, Artés-Rodríguez Antonio, Barrigón Maria Luisa, Courtet Philippe, Baca-García Enrique
2021-Apr-16
COVID-19, Suicide, ecological momentary assessment, machine learning, suicide attempt

QSAR-Co-X: an open source toolkit for multitarget QSAR modelling.
In Journal of cheminformatics
Halder Amit Kumar, Dias Soeiro Cordeiro M Natália
2021-Apr-15
Feature selection, Machine learning, Multitarget models, QSAR, Software tools

Multi-PLI: interpretable multi-task deep learning model for unifying protein-ligand interaction datasets.
In Journal of cheminformatics
Hu Fan, Jiang Jiaxin, Wang Dongqi, Zhu Muchun, Yin Peng
2021-Apr-15
Deep learning, Drug discovery, Interpretable, Multi‐task

Biomimetic detection of dynamic signatures in foliage echoes.
In Bioinspiration & biomimetics
Bhardwaj Ananya, Khyam Mohammad Omar, Mueller Rolf
2021-Apr-16
bats, biosonar, dynamics, machine learning, sensing, soft robotics

Adopting low-shot deep learning for the detection of conjunctival melanoma using ocular surface images.
In Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
Yoo Tae Keun, Choi Joon Yul, Kim Hong Kyu, Ryu Ik Hee, Kim Jin Kuk
2021-Apr-03
Conjunctival melanoma, Conjunctival nevus, Deep learning, Low-shot learning, Melanosis
Cystic cervical lymph nodes of papillary thyroid carcinoma, tuberculosis and human papillomavirus positive oropharyngeal squamous cell carcinoma: utility of deep learning in their differentiation on CT.
In American journal of otolaryngology ; h5-index 23.0
OBJECTIVES :
METHODS :
RESULTS :
CONCLUSION :
Onoue Keita, Fujima Noriyuki, Andreu-Arasa V Carlota, Setty Bindu N, Sakai Osamu
2021-Apr-09
Cervical lymphadenopathy, Computed tomography, Deep learning, Human papillomavirus, Machine learning, Papillary thyroid carcinoma, Tuberculosis

Modeling patient-related workload in the emergency department using electronic health record data.
In International journal of medical informatics ; h5-index 49.0
INTRODUCTION :
METHODS :
RESULTS :
CONCLUSION :
Wang Xiaomei, Blumenthal H Joseph, Hoffman Daniel, Benda Natalie, Kim Tracy, Perry Shawna, Franklin Ella S, Roth Emilie M, Hettinger A Zachary, Bisantz Ann M
2021-Apr-09
Electronic health record, Emergency department, Machine learning, Workload

Trends in sensor development toward next-generation point-of-care testing for mercury.
In Biosensors & bioelectronics
Lim Ji Won, Kim Tai-Yong, Woo Min-Ah
2021-Apr-07
Colorimetry, Electrochemistry, Field detection, Fluorescence, Mercury, Sensor platform

Hyperspectral monitor of soil chromium contaminant based on deep learning network model in the Eastern Junggar coalfield.
In Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Wang Yuan, Ma Hongbing, Wang Jingzhe, Liu Li, Pietikäinen Matti, Zhang Zipeng, Chen Xiangyue
2021-Mar-26
Data enhancement (DA), Deep neural network (DNN), Soil heavy metal pollution, Soil hyperspectrum, Support vector machine (SVM), k-nearest neighbour (KNN)
A predictive framework based on brain volume trajectories enabling early detection of Alzheimer's disease.
In Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Mofrad Samaneh Abolpour, Lundervold Arvid, Lundervold Alexander Selvikvåg
2021-Apr-02
“Alzheimers disease”, Longitudinal data analysis, MRI, Machine learning, Mild cognitive impairment, Mixed effects models
BS-Net: Learning COVID-19 pneumonia severity on a large chest X-ray dataset.
In Medical image analysis
Signoroni Alberto, Savardi Mattia, Benini Sergio, Adami Nicola, Leonardi Riccardo, Gibellini Paolo, Vaccher Filippo, Ravanelli Marco, Borghesi Andrea, Maroldi Roberto, Farina Davide
2021-Mar-31
COVID-19 severity assessment, Chest X-rays, Convolutional neural networks, End-to-end learning, Semi-quantitative rating
Machine learning and statistical approaches for classification of risk of coronary artery disease using plasma cytokines.
In BioData mining
BACKGROUND :
RESULTS :
Saharan Seema Singh, Nagar Pankaj, Creasy Kate Townsend, Stock Eveline O, Feng James, Malloy Mary J, Kane John P
2021-Apr-15
AUROC, CAD, Classification, Confidence interval, Distance metrics, ML, Plasma cytokines, ROSE, Random Forest, k-NN, k-fold cross validation

Multimodal brain predictors of current weight and weight gain in children enrolled in the ABCD study ®.
In Developmental cognitive neuroscience ; h5-index 46.0
Adise Shana, Allgaier Nicholas, Laurent Jennifer, Hahn Sage, Chaarani Bader, Owens Max, Yuan DeKang, Nyugen Philip, Mackey Scott, Potter Alexandra, Garavan Hugh P
2021-Mar-30
Childhood obesity, Inhibitory control, Machine-learning, Reward, Weight gain, Weight stability, fMRI

Facial emotions are accurately encoded in the neural signal of those with Autism Spectrum Disorder: A deep learning approach.
In Biological psychiatry. Cognitive neuroscience and neuroimaging
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
Mayor Torres Juan Manuel, Clarkson Tessa, Hauschild Kathryn M, Luhmann Christian C, Lerner Matthew D, Riccardi Giuseppe
2021-Apr-13
Autism Spectrum Disorder, Deep Convolutional Neural Networks, Electroencephalography, Facial Emotion Recognition

Simulation-Derived Best Practices for Clustering Clinical Data.
In Journal of biomedical informatics ; h5-index 55.0
INTRODUCTION :
METHODS :
RESULTS :
DISCUSSION :
Coombes Caitlin E, Abrams Zachary B, Coombes Kevin R, Brock Guy
2021-Apr-13
Clustering, clinical informatics, clinical trial, electronic health record, unsupervised machine learning

Toward a fine-scale population health monitoring system.
In Cell ; h5-index 250.0
Belbin Gillian M, Cullina Sinead, Wenric Stephane, Soper Emily R, Glicksberg Benjamin S, Torre Denis, Moscati Arden, Wojcik Genevieve L, Shemirani Ruhollah, Beckmann Noam D, Cohain Ariella, Sorokin Elena P, Park Danny S, Ambite Jose-Luis, Ellis Steve, Auton Adam, Bottinger Erwin P, Cho Judy H, Loos Ruth J F, Abul-Husn Noura S, Zaitlen Noah A, Gignoux Christopher R, Kenny Eimear E
2021-Apr-15
biobanks, computational genomics, electronic health records, genetic ancestry, genomic medicine, health disparities, machine learning, population health

Predicting breast cancer 5-year survival using machine learning: A systematic review.
In PloS one ; h5-index 176.0
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
Li Jiaxin, Zhou Zijun, Dong Jianyu, Fu Ying, Li Yuan, Luan Ze, Peng Xin
2021

Emulative, coherent, and causal dynamics between large-scale brain networks are neurobiomarkers of Accelerated Cognitive Ageing in epilepsy.
In PloS one ; h5-index 176.0
Bernas Antoine, Breuer Lisanne E M, Aldenkamp Albert P, Zinger Svitlana
2021

Automatic image annotation for fluorescent cell nuclei segmentation.
In PloS one ; h5-index 176.0
Englbrecht Fabian, Ruider Iris E, Bausch Andreas R
2021

Predicting eyes at risk for rapid glaucoma progression based on an initial visual field test using machine learning.
In PloS one ; h5-index 176.0
OBJECTIVE :
DESIGN :
SUBJECTS :
METHODS :
MAIN OUTCOME MEASURES :
RESULTS :
CONCLUSIONS :
Shuldiner Scott R, Boland Michael V, Ramulu Pradeep Y, De Moraes C Gustavo, Elze Tobias, Myers Jonathan, Pasquale Louis, Wellik Sarah, Yohannan Jithin
2021

A framework model using multifilter feature selection to enhance colon cancer classification.
In PloS one ; h5-index 176.0
Al-Rajab Murad, Lu Joan, Xu Qiang
2021

Genome-wide analysis of lncRNA stability in human.
In PLoS computational biology
Shi Kaiwen, Liu Tao, Fu Hanjiang, Li Wuju, Zheng Xiaofei
2021-Apr-16

Semantic categorization of Chinese eligibility criteria in clinical trials using machine learning methods.
In BMC medical informatics and decision making ; h5-index 38.0
BACKGROUND :
METHODS :
RESULTS :
CONCLUSION :
Zong Hui, Yang Jinxuan, Zhang Zeyu, Li Zuofeng, Zhang Xiaoyan
2021-Apr-15
Classification, Clinical trials, Clustering, Eligibility criteria, Semantic category

Knowledge-Based Prediction of Network Controllability Robustness.
In IEEE transactions on neural networks and learning systems
Lou Yang, He Yaodong, Wang Lin, Tsang Kim Fung, Chen Guanrong
2021-Apr-16

Evaluating User and Machine Learning in Short-and Long-term Pattern Recognition-based Myoelectric Control.
In IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Lv Bo, Chai Guohong, Sheng Xinjun, Ding Han, Zhu Xiangyang
2021-Apr-16

Revisiting Light Field Rendering with Deep Anti-Aliasing Neural Network.
In IEEE transactions on pattern analysis and machine intelligence ; h5-index 127.0
Wu Gaochang, Liu Yebin, Fang Lu, Chai Tianyou
2021-Apr-16
Interventional Radiology ex-machina: impact of Artificial Intelligence on practice.
In La Radiologia medica
Gurgitano Martina, Angileri Salvatore Alessio, Rodà Giovanni Maria, Liguori Alessandro, Pandolfi Marco, Ierardi Anna Maria, Wood Bradford J, Carrafiello Gianpaolo
2021-Apr-16
Artificial intelligence (AI), Augmented reality (AR), Deep learning (DL), Interventional radiology (IR), Machine learning (ML), Virtual reality (VR)

A Deep Learning Convolutional Neural Network Can Differentiate Between Helicobacter Pylori Gastritis and Autoimmune Gastritis With Results Comparable to Gastrointestinal Pathologists.
In Archives of pathology & laboratory medicine ; h5-index 49.0
CONTEXT.— :
OBJECTIVE.— :
DESIGN.— :
RESULTS.— :
CONCLUSIONS.— :
Franklin Michael M, Schultz Fred A, Tafoya Marissa A, Kerwin Audra A, Broehm Cory J, Fischer Edgar G, Gullapalli Rama R, Clark Douglas P, Hanson Joshua A, Martin David R
2021-Apr-15

Forecasting Future Asthma Hospital Encounters of Patients With Asthma in an Academic Health Care System: Predictive Model Development and Secondary Analysis Study.
In Journal of medical Internet research ; h5-index 88.0
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) :
Tong Yao, Messinger Amanda I, Wilcox Adam B, Mooney Sean D, Davidson Giana H, Suri Pradeep, Luo Gang
2021-Apr-16
asthma, forecasting, machine learning, patient care management, risk factors

Reliable Deep Learning-Based Detection of Misplaced Chest Electrodes During Electrocardiogram Recording: Algorithm Development and Validation.
In JMIR medical informatics ; h5-index 23.0
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
Rjoob Khaled, Bond Raymond, Finlay Dewar, McGilligan Victoria, J Leslie Stephen, Rababah Ali, Iftikhar Aleeha, Guldenring Daniel, Knoery Charles, McShane Anne, Peace Aaron
2021-Apr-16
ECG, ECG interpretation, cardiovascular disease, deep learning, electrode misplacement, engineering, feature engineering, machine learning, myocardial, myocardial infarction, physicians

Real-Time Clinical Decision Support Based on Recurrent Neural Networks for In-Hospital Acute Kidney Injury: External Validation and Model Interpretation.
In Journal of medical Internet research ; h5-index 88.0
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
Kim Kipyo, Yang Hyeonsik, Yi Jinyeong, Son Hyung-Eun, Ryu Ji-Young, Kim Yong Chul, Jeong Jong Cheol, Chin Ho Jun, Na Ki Young, Chae Dong-Wan, Han Seung Seok, Kim Sejoong
2021-Apr-16
acute kidney injury, external validation, internal validation, kidney, neural networks, prediction model, recurrent neural network

Design and Delivery of the Clinical Integrative Puzzle as a Collaborative Learning Tool.
In Journal of veterinary medical education
Boller Elise, Courtman Natalie, Chiavaroli Neville, Beck Catherine
2021-Apr
clinical integrative puzzle, clinical reasoning, collaborative learning, extended matching question

Disentangling Rotational Dynamics and Ordering Transitions in a System of Self-Organizing Protein Nanorods via Rotationally Invariant Latent Representations.
In ACS nano ; h5-index 203.0
Kalinin Sergei V, Zhang Shuai, Valleti Mani, Pyles Harley, Baker David, De Yoreo James J, Ziatdinov Maxim
2021-Apr-16
deep learning, latent space models, representation learning, self-assembly, variational autoencoder

Survival time prediction by integrating cox proportional hazards network and distribution function network.
In BMC bioinformatics
BACKGROUND :
RESULTS :
CONCLUSIONS :
Baek Eu-Tteum, Yang Hyung Jeong, Kim Soo Hyung, Lee Guee Sang, Oh In-Jae, Kang Sae-Ryung, Min Jung-Joon
2021-Apr-15
Cox proportional hazards network, Deep learning, Distribution function network, Prognosis, Survival time prediction
BS-Net: Learning COVID-19 pneumonia severity on a large chest X-ray dataset.
In Medical image analysis
Signoroni Alberto, Savardi Mattia, Benini Sergio, Adami Nicola, Leonardi Riccardo, Gibellini Paolo, Vaccher Filippo, Ravanelli Marco, Borghesi Andrea, Maroldi Roberto, Farina Davide
2021-Mar-31
COVID-19 severity assessment, Chest X-rays, Convolutional neural networks, End-to-end learning, Semi-quantitative rating

Machine Learning to Assess the Risk of Multidrug-Resistant Gram-Negative Bacilli Infections in Febrile Neutropenic Hematological Patients.
In Infectious diseases and therapy
INTRODUCTION :
METHODS :
RESULTS :
CONCLUSION :
Garcia-Vidal Carolina, Puerta-Alcalde Pedro, Cardozo Celia, Orellana Miquel A, Besanson Gaston, Lagunas Jaime, Marco Francesc, Del Rio Ana, Martínez Jose A, Chumbita Mariana, Garcia-Pouton Nicole, Mensa Josep, Rovira Montserrat, Esteve Jordi, Soriano Alex
2021-Apr-16
Electronic health records, Machine learning, Multiresistance, Neutropenia
Systematic review of research design and reporting of imaging studies applying convolutional neural networks for radiological cancer diagnosis.
In European radiology ; h5-index 62.0
OBJECTIVES :
METHODS :
RESULTS :
CONCLUSIONS :
KEY POINTS :
O’Shea Robert J, Sharkey Amy Rose, Cook Gary J R, Goh Vicky
2021-Apr-16
Artificial intelligence, Deep learning, Diagnosis, computer-assisted, Neoplasms, Research design
Radiologists in the loop: the roles of radiologists in the development of AI applications.
In European radiology ; h5-index 62.0
OBJECTIVES :
MATERIALS AND METHODS :
RESULTS :
CONCLUSIONS :
KEY POINTS :
Scheek Damian, Rezazade Mehrizi Mohammad H, Ranschaert Erik
2021-Apr-16
AI, Artificial intelligence, Development, Radiologists, Roles

A convolutional neural network for the prediction and forward design of ribozyme-based gene-control elements.
In eLife
Schmidt Calvin M, Smolke Christina D
2021-Apr-16
S. cerevisiae, computational biology, systems biology

Harnessing artificial intelligence in cardiac rehabilitation, a systematic review.
In Future cardiology
Sotirakos Sara, Fouda Basem, Mohamed Razif Noor Adeebah, Cribben Niall, Mulhall Cormac, O’Byrne Aisling, Moran Bridget, Connolly Ruairi
2021-Apr-16
arrhythmia, artificial intelligence, cardiac disease, cardiac rehabilitation, heart failure, smartwatch

A deep-learning-based workflow to assess taxonomic affinity of hominid teeth with a test on discriminating Pongo and Homo upper molars.
In American journal of physical anthropology
OBJECTIVES :
METHODS AND MATERIALS :
RESULTS :
DISCUSSION :
Yi Zhixing, Zanolli Clément, Liao Wei, Wang Wei
2021-Apr-16
convolutional neural network, deep learning, hominid teeth, taxonomy

Machine learning applied to a Cardiac Surgery Recovery Unit and to a Coronary Care Unit for mortality prediction.
In Journal of clinical monitoring and computing
Nistal-Nuño Beatriz
2021-Apr-15
Cardiac Surgery Recovery Unit, Coronary Care Unit, Decision-support systems, Machine learning, Mortality
A nomogram to predict rupture risk of middle cerebral artery aneurysm.
In Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology
BACKGROUND :
METHODS :
RESULTS :
CONCLUSION :
Liu Jinjin, Chen Yongchun, Zhu Dongqin, Li Qiong, Chen Zhonggang, Zhou Jiafeng, Lin Boli, Yang Yunjun, Jia Xiufen
2021-Apr-15
Aneurysm, Computed tomography angiography, Morphology, Prediction, Rupture

Parsing Sage and Rosemary in Time: The Machine Learning Race to Crack Olfactory Perception.
In Chemical senses
Gerkin Richard C
2021-Apr-16
Climate action for health and wellbeing in cities: a protocol for the systematic development of a database of peer-reviewed studies using machine learning methods.
In Wellcome open research
Belesova Kristine, Callaghan Max, Minx Jan C, Creutzig Felix, Turcu Catalina, Hutchinson Emma, Milner James, Crane Melanie, Haines Andy, Davies Michael, Wilkinson Paul
2021
actions, adaptation, case studies, cities, climate action, climate change, evaluation, implementation, intervention, mitigation, planetary health, public health, solutions, urban health, wellbeing

Inter-regional multimedia fate analysis of PAHs and potential risk assessment by integrating deep learning and climate change scenarios.
In Journal of hazardous materials
Nam Ki Jeon, Li Qian, Heo Sung Ku, Tariq Shahzeb, Loy-Benitez Jorge, Woo Tae Yong, Yoo Chang Kyoo
2021-Jun-05
Climate change, Deep learning, Dynamic fate analysis, Polycyclic aromatic hydrocarbons, Potential risk

Novel application of automated machine learning with MALDI-TOF-MS for rapid high-throughput screening of COVID-19: a proof of concept.
In Scientific reports ; h5-index 158.0
Tran Nam K, Howard Taylor, Walsh Ryan, Pepper John, Loegering Julia, Phinney Brett, Salemi Michelle R, Rashidi Hooman H
2021-Apr-15
A Noninvasive Prediction Model for Hepatitis B Virus Disease in Patients with HIV: Based on the Population of Jiangsu, China.
In BioMed research international ; h5-index 102.0
Objective :
Methods :
Results :
Conclusions :
Yin Yi, Xue Mingyue, Shi Lingen, Qiu Tao, Xia Derun, Fu Gengfeng, Peng Zhihang
2021

Implementing Multilabeling, ADASYN, and ReliefF Techniques for Classification of Breast Cancer Diagnostic through Machine Learning: Efficient Computer-Aided Diagnostic System.
In Journal of healthcare engineering
Khan Taha Muthar, Xu Shengjun, Khan Zullatun Gull, Uzair Chishti Muhammad
2021

A Protocol for the Diagnosis of Autism Spectrum Disorder Structured in Machine Learning and Verbal Decision Analysis.
In Computational and mathematical methods in medicine
Andrade Evandro, Portela Samuel, Pinheiro Plácido Rogério, Nunes Luciano Comin, Filho Marum Simão, Costa Wagner Silva, Pinheiro Mirian Caliope Dantas
2021

Guidance for Acupuncture Robot with Potentially Utilizing Medical Robotic Technologies.
In Evidence-based complementary and alternative medicine : eCAM
Xu Tiancheng, Xia Youbing
2021

Automatic Detection of Obstructive Sleep Apnea Events Using a Deep CNN-LSTM Model.
In Computational intelligence and neuroscience
Zhang Junming, Tang Zhen, Gao Jinfeng, Lin Li, Liu Zhiliang, Wu Haitao, Liu Fang, Yao Ruxian
2021

Early Detection of Stripe Rust in Winter Wheat Using Deep Residual Neural Networks.
In Frontiers in plant science
Schirrmann Michael, Landwehr Niels, Giebel Antje, Garz Andreas, Dammer Karl-Heinz
2021
ResNet, camera sensor, deep learning, image recognition, monitoring, smart farming, wheat crops, yellow rust

Predicting ASD Diagnosis in Children with Synthetic and Image-based Eye Gaze Data.
In Signal processing. Image communication
Liaqat Sidrah, Wu Chongruo, Duggirala Prashanth Reddy, Cheung Sen-Ching Samson, Chuah Chen-Nee, Ozonoff Sally, Young Gregory
2021-May
Autism Spectrum Disorders, Deep Learning, Eye Gaze Data

ENTRYWISE EIGENVECTOR ANALYSIS OF RANDOM MATRICES WITH LOW EXPECTED RANK.
In Annals of statistics
Abbe Emmanuel, Fan Jianqing, Wang Kaizheng, Zhong Yiqiao
2020-Jun
62H12, Primary 62H25, community detection, eigenvector perturbation, low-rank structures, matrix completion, random matrices, secondary 60B20, spectral analysis, synchronization

Triage-driven diagnosis of Barrett's esophagus for early detection of esophageal adenocarcinoma using deep learning.
In Nature medicine ; h5-index 170.0
Gehrung Marcel, Crispin-Ortuzar Mireia, Berman Adam G, O’Donovan Maria, Fitzgerald Rebecca C, Markowetz Florian
2021-Apr-15

Optimization of therapeutic antibodies by predicting antigen specificity from antibody sequence via deep learning.
In Nature biomedical engineering
Mason Derek M, Friedensohn Simon, Weber Cédric R, Jordi Christian, Wagner Bastian, Meng Simon M, Ehling Roy A, Bonati Lucia, Dahinden Jan, Gainza Pablo, Correia Bruno E, Reddy Sai T
2021-Apr-15
Predicting the risk of GenX contamination in private well water using a machine-learned Bayesian network model.
In Journal of hazardous materials
Roostaei Javad, Colley Sarah, Mulhern Riley, May Andrew A, Gibson Jacqueline MacDonald
2021-Jun-05
Bayesian network, Drinking water, GenX, Machine-learning, PFAS, Well water

Patients at high risk of suicide before and during a COVID-19 lockdown: ecological momentary assessment study.
In BJPsych open
Cobo Aurora, Porras-Segovia Alejandro, Pérez-Rodríguez María Mercedes, Artés-Rodríguez Antonio, Barrigón Maria Luisa, Courtet Philippe, Baca-García Enrique
2021-Apr-16
COVID-19, Suicide, ecological momentary assessment, machine learning, suicide attempt

U-Sleep: resilient high-frequency sleep staging.
In NPJ digital medicine
Perslev Mathias, Darkner Sune, Kempfner Lykke, Nikolic Miki, Jennum Poul Jørgen, Igel Christian
2021-Apr-15

The image features of emotional faces that predict the initial eye movement to a face.
In Scientific reports ; h5-index 158.0
Stuit S M, Kootstra T M, Terburg D, van den Boomen C, van der Smagt M J, Kenemans J L, Van der Stigchel S
2021-Apr-15

Spatio-temporal feature learning with reservoir computing for T-cell segmentation in live-cell [Formula: see text] fluorescence microscopy.
In Scientific reports ; h5-index 158.0
Hadaeghi Fatemeh, Diercks Björn-Philipp, Schetelig Daniel, Damicelli Fabrizio, Wolf Insa M A, Werner René
2021-Apr-15

Crop response to El Niño-Southern Oscillation related weather variation to help farmers manage their crops.
In Scientific reports ; h5-index 158.0
Chapman Ross, Cock James, Samson Marianne, Janetski Noel, Janetski Kate, Gusyana Dadang, Dutta Sudarshan, Oberthür Thomas
2021-Apr-15

Novel, non-invasive markers for detecting therapy induced neuroendocrine differentiation in castration-resistant prostate cancer patients.
In Scientific reports ; h5-index 158.0
Bhagirath Divya, Liston Michael, Akoto Theresa, Lui Byron, Bensing Barbara A, Sharma Ashok, Saini Sharanjot
2021-Apr-15

Novel application of automated machine learning with MALDI-TOF-MS for rapid high-throughput screening of COVID-19: a proof of concept.
In Scientific reports ; h5-index 158.0
Tran Nam K, Howard Taylor, Walsh Ryan, Pepper John, Loegering Julia, Phinney Brett, Salemi Michelle R, Rashidi Hooman H
2021-Apr-15
Nasal versus oronasal masks for home non-invasive ventilation in patients with chronic hypercapnia: a systematic review and individual participant data meta-analysis.
In Thorax ; h5-index 75.0
BACKGROUND :
METHODS :
FINDINGS :
INTERPRETATION :
Lebret Marius, Léotard Antoine, Pépin Jean Louis, Windisch Wolfram, Ekkernkamp Emelie, Pallero Mercedes, Sánchez-Quiroga M-Ángeles, Hart Nicholas, Kelly Julia L, Patout Maxime, Funk Georg Chistian, Duiverman Marieke L, Masa Juan F, Simonds Anita, Murphy Patrick Brian, Wijkstra Peter J, Dreher Michael, Storre Jan, Khouri Charles, Borel Jean-Christian
2021-Apr-15
COPD pathology, non invasive ventilation, sleep apnoea

HLA Ligand Atlas: a benign reference of HLA-presented peptides to improve T-cell-based cancer immunotherapy.
In Journal for immunotherapy of cancer
BACKGROUND :
METHODS :
RESULTS :
CONCLUSION :
Marcu Ana, Bichmann Leon, Kuchenbecker Leon, Kowalewski Daniel Johannes, Freudenmann Lena Katharina, Backert Linus, Mühlenbruch Lena, Szolek András, Lübke Maren, Wagner Philipp, Engler Tobias, Matovina Sabine, Wang Jian, Hauri-Hohl Mathias, Martin Roland, Kapolou Konstantina, Walz Juliane Sarah, Velz Julia, Moch Holger, Regli Luca, Silginer Manuela, Weller Michael, Löffler Markus W, Erhard Florian, Schlosser Andreas, Kohlbacher Oliver, Stevanović Stefan, Rammensee Hans-Georg, Neidert Marian Christoph
2021-Apr
adaptive immunity, antigen presentation, antigens, carbohydrate, immunotherapy, translational medical research, tumor-associated

Application of Federated Learning for Thyroid Ultrasound Image Analysis to Protect Personal Information: Validation Study in Real Healthcare Environment.
In JMIR medical informatics ; h5-index 23.0
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
Lee Haeyun, Chai Young Jun, Joo Hyunjin, Lee Kyungsu, Hwang Jae Youn, Kim Seok-Mo, Kim Kwangsoon, Nam Inn-Chul, Choi June Young, Yu Hyeong Won, Lee Myung-Chul, Masuoka Hiroo, Miyauchi Akira, Lee Kyu Eun, Kim Sungwan, Kong Hyoun-Joong
2021-Apr-03

Long-term mortality risk stratification of liver transplant recipients: real-time application of deep learning algorithms on longitudinal data.
In The Lancet. Digital health
BACKGROUND :
METHODS :
FINDINGS :
INTERPRETATION :
FUNDING :
Nitski Osvald, Azhie Amirhossein, Qazi-Arisar Fakhar Ali, Wang Xueqi, Ma Shihao, Lilly Leslie, Watt Kymberly D, Levitsky Josh, Asrani Sumeet K, Lee Douglas S, Rubin Barry B, Bhat Mamatha, Wang Bo
2021-Apr-09

A deep learning model for the classification of indeterminate lung carcinoma in biopsy whole slide images.
In Scientific reports ; h5-index 158.0
Kanavati Fahdi, Toyokawa Gouji, Momosaki Seiya, Takeoka Hiroaki, Okamoto Masaki, Yamazaki Koji, Takeo Sadanori, Iizuka Osamu, Tsuneki Masayuki
2021-Apr-14

Efficient few-shot machine learning for classification of EBSD patterns.
In Scientific reports ; h5-index 158.0
Kaufmann Kevin, Lane Hobson, Liu Xiao, Vecchio Kenneth S
2021-Apr-14

Moving towards accurate and early prediction of language delay with network science and machine learning approaches.
In Scientific reports ; h5-index 158.0
Borovsky Arielle, Thal Donna, Leonard Laurence B
2021-Apr-14

How machine learning is embedded to support clinician decision making: an analysis of FDA-approved medical devices.
In BMJ health & care informatics
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSION :
Lyell David, Coiera Enrico, Chen Jessica, Shah Parina, Magrabi Farah
2021-Apr
medical informatics

Impact of DSMES app interventions on medication adherence in type 2 diabetes mellitus: systematic review and meta-analysis.
In BMJ health & care informatics
OBJECTIVES :
METHODS :
RESULTS :
CONCLUSION :
Enricho Nkhoma Dumisani, Jenya Soko Charles, Joseph Banda Kondwani, Greenfield David, Li Yu-Chuan Jack, Iqbal Usman
2021-Apr
patient care, primary health care, public health

Faithful and Plausible Explanations of Medical Code Predictions
ArXiv Preprint
Zach Wood-Doughty, Isabel Cachola, Mark Dredze
2021-04-16
An Insight of the First Community Infected COVID-19 Patient in Beijing by Imported Case: Role of Deep Learning-Assisted CT Diagnosis.
In Chinese medical sciences journal = Chung-kuo i hsueh k'o hsueh tsa chih
Li Da Sheng, Wang Da Wei, Wang Na Na, Xu Hai Wang, Huang He, Dong Jian Ping, Xia Chen
2021-Mar-31

Split Learning Meets Koopman Theory for Wireless Remote Monitoring and Prediction
ArXiv Preprint
Abanoub M. Girgis, Hyowoon Seo, Jihong Park, Mehdi Bennis, Jinho Choi
2021-04-16

A prediction model using machine-learning algorithm for assessing intrathecal hyperbaric bupivacaine dose during cesarean section.
In BMC anesthesiology ; h5-index 31.0
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
Wei Chang-Na, Wang Li-Ying, Chang Xiang-Yang, Zhou Qing-He
2021-Apr-14
Bupivacaine dosage, Cesarean section, Machine learning algorithm, Physical variables, Spinal anesthesia

MEG: Generating Molecular Counterfactual Explanations for Deep Graph Networks
ArXiv Preprint
Danilo Numeroso, Davide Bacciu
2021-04-16

The shape of low-concentration dose-response functions for benzene: implications for human health risk assessment.
In Critical reviews in toxicology
Cox Louis A, Ketelslegers Hans B, Lewis R Jeffrey
2021-Apr-15
Bayesian networks, Benzene metabolism, Chinese workers, PBPK model, machine learning, supralinearity

T-LEAP: occlusion-robust pose estimation of walking cows using temporal information
ArXiv Preprint
Helena Russello, Rik van der Tol, Gert Kootstra
2021-04-16
e-ASPECTS software improves interobserver agreement and accuracy of interpretation of aspects score.
In Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences
INTRODUCTION :
METHODS :
RESULTS :
CONCLUSIONS :
Brinjikji Waleed, Abbasi Mehdi, Arnold Catherine, Benson John C, Braksick Sherry A, Campeau Norbert, Carr Carrie M, Cogswell Petrice M, Klaas James P, Liebo Greta B, Little Jason T, Luetmer Patrick H, Messina Steven A, Nagelschneider Alex A, Schwartz Kara M, Wood Christopher P, Nasr Deena M, Kallmes David F
2021-Apr-14
ASPECTS, CT, Stroke, artificial intelligence, large vessel occlusion

Identifying Water Stress in Chickpea Plant by Analyzing Progressive Changes in Shoot Images using Deep Learning
ArXiv Preprint
Shiva Azimi, Rohan Wadhawan, Tapan K. Gandhi
2021-04-16

Identifying Water Stress in Chickpea Plant by Analyzing Progressive Changes in Shoot Images using Deep Learning
ArXiv Preprint
Shiva Azimi, Rohan Wadhawan, Tapan K. Gandhi
2021-04-16

Tactile Avatar: Tactile Sensing System Mimicking Human Tactile Cognition.
In Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Kim Kyungsoo, Sim Minkyung, Lim Sung-Ho, Kim Dongsu, Lee Doyoung, Shin Kwonsik, Moon Cheil, Choi Ji-Woong, Jang Jae Eun
2021-Apr
P(VDF‐TrFE), machine learning, piezoelectric effect, tactile avatars

Novel deep learning-based survival prediction for oral cancer by analyzing tumor-infiltrating lymphocyte profiles through CIBERSORT.
In Oncoimmunology
Kim Yeongjoo, Kang Ji Wan, Kang Junho, Kwon Eun Jung, Ha Mihyang, Kim Yoon Kyeong, Lee Hansong, Rhee Je-Keun, Kim Yun Hak
2021-Mar-29
Head and neck cancer, cibersort, deep learning, international cancer genome consortium, oral cancer, the cancer genome atlas, tumor microenvironment, tumor-infiltrating lymphocytes
Clinical Influencing Factors of Acute Myocardial Infarction Based on Improved Machine Learning.
In Journal of healthcare engineering
Du Hongwei, Feng Linxing, Xu Yan, Zhan Enbo, Xu Wei
2021

Application of machine learning in prediction of Chemotherapy resistant of Ovarian Cancer based on Gut Microbiota.
In Journal of Cancer
Gong Ting-Ting, He Xin-Hui, Gao Song, Wu Qi-Jun
2021
chemoresistant, gut microbiota, machine learning, ovarian cancer, random forest

Recycled Clothing Classification System Using Intelligent IoT and Deep Learning with AlexNet.
In Computational intelligence and neuroscience
Noh Sun-Kuk
2021

Machine Learning Can Predict Total Death After Radiofrequency Ablation in Liver Cancer Patients.
In Clinical Medicine Insights. Oncology
Objective :
Methods :
Results :
Conclusion :
Tong Jianhua, Liu Panmiao, Ji Muhuo, Wang Ying, Xue Qiong, Yang Jian-Jun, Zhou Cheng-Mao
2021
Treatment algorithms, hepatocellular carcinoma, individual outcomes, patient stratification, radiofrequency ablation

Corneal Biomechanical Assessment with Ultra-High-Speed Scheimpflug Imaging During Non-Contact Tonometry: A Prospective Review.
In Clinical ophthalmology (Auckland, N.Z.)
Background :
Objective :
Summary :
Baptista Pedro Manuel, Ambrosio Renato, Oliveira Luis, Meneres Pedro, Beirao Joao Melo
2021
Corvis, cornea, corneal biomechanics, ultra-high speed Szcheimpflug camera

The efficacy of machine learning algorithm for raw drug authentication in Coscinium fenestratum (Gaertn.) Colebr. employing a DNA barcode database.
In Physiology and molecular biology of plants : an international journal of functional plant biology
Unnikrishnan Remya, Sumod M, Jayaraj R, Sujanapal P, Dev Suma Arun
2021-Mar
Artificial intelligence, DNA barcoding, Machine learning algorithm, Medicinal plants, Threatened species

Climate change and specialty coffee potential in Ethiopia.
In Scientific reports ; h5-index 158.0
Chemura Abel, Mudereri Bester Tawona, Yalew Amsalu Woldie, Gornott Christoph
2021-Apr-14

Mushroom data creation, curation, and simulation to support classification tasks.
In Scientific reports ; h5-index 158.0
Wagner Dennis, Heider Dominik, Hattab Georges
2021-Apr-14

Differences in subcortico-cortical interactions identified from connectome and microcircuit models in autism.
In Nature communications ; h5-index 260.0
Park Bo-Yong, Hong Seok-Jun, Valk Sofie L, Paquola Casey, Benkarim Oualid, Bethlehem Richard A I, Di Martino Adriana, Milham Michael P, Gozzi Alessandro, Yeo B T Thomas, Smallwood Jonathan, Bernhardt Boris C
2021-04-13

Leveraging Genomic Associations in Precision Digital Care for Weight Loss: Cohort Study.
In Journal of medical Internet research ; h5-index 88.0
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
CLINICALTRIAL :
Sinha Ranjan, Kachru Dashyanng, Ricchetti Roshni Ray, Singh-Rambiritch Simitha, Muthukumar Karthik Marimuthu, Singaravel Vidhya, Irudayanathan Carmel, Reddy-Sinha Chandana, Junaid Imran, Sharma Garima, Airey Catherine, Francis-Lyon Patricia Alice
2021-Apr-11
Three-Dimensional Deep Noninvasive Radiomics for the Prediction of Disease Control in Patients With Metastatic Urothelial Carcinoma treated With Immunotherapy.
In Clinical genitourinary cancer
INTRODUCTION :
METHODS :
RESULTS :
CONCLUSION :
Rundo Francesco, Bersanelli Melissa, Urzia Valeria, Friedlaender Alex, Cantale Ornella, Calcara Giacomo, Addeo Alfredo, Banna Giuseppe Luigi
2021-Mar-19
3D-CNN, Artificial intelligence, Deep learning, Immune-checkpoint inhibitors, Machine learning

Voice Feature Selection to Improve Performance of Machine Learning Models for Voice Production Inversion.
In Journal of voice : official journal of the Voice Foundation
OBJECTIVE :
METHODS :
RESULTS AND CONCLUSIONS :
Zhang Zhaoyan
2021-Apr-10
Voice inversion—Vocal fold geometry—Vocal fold stiffness—Machine learning
Automated detection and segmentation of thoracic lymph nodes from CT using 3D foveal fully convolutional neural networks.
In BMC medical imaging
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
Iuga Andra-Iza, Carolus Heike, Höink Anna J, Brosch Tom, Klinder Tobias, Maintz David, Persigehl Thorsten, Baeßler Bettina, Püsken Michael
2021-Apr-13
Artificial intelligence, Computed tomography, Deep learning, Lymph nodes, Staging

SINA-BERT: A pre-trained Language Model for Analysis of Medical Texts in Persian
ArXiv Preprint
Nasrin Taghizadeh, Ehsan Doostmohammadi, Elham Seifossadat, Hamid R. Rabiee, Maedeh S. Tahaei
2021-04-15

Analytical validation of the Percepta genomic sequencing classifier; an RNA next generation sequencing assay for the assessment of Lung Cancer risk of suspicious pulmonary nodules.
In BMC cancer
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
Johnson Marla K, Wu Shuyang, Pankratz Daniel G, Fedorowicz Grazyna, Anderson Jessica, Ding Jie, Wong Mei, Cao Manqiu, Babiarz Joshua, Lofaro Lori, Walsh P Sean, Kennedy Giulia C, Huang Jing
2021-Apr-13
Analytical validation, Bronchial brushing specimen, Genomic sequencing classifier, Lung lesion, Molecular diagnostic, Percepta
Modeling the impact of public response on the COVID-19 pandemic in Ontario.
In PloS one ; h5-index 176.0
Eastman Brydon, Meaney Cameron, Przedborski Michelle, Kohandel Mohammad
2021

Applying Personal Knowledge Graphs to Health
ArXiv Preprint
Sola Shirai, Oshani Seneviratne, Deborah L. McGuinness
2021-04-15
A dilated inception CNN-LSTM network for fetal heart rate estimation.
In Physiological measurement ; h5-index 36.0
OBJECTIVE :
APPROACH :
MAIN RESULTS :
SIGNIFICANCE :
Fotiadou Eleni, van Sloun Ruud J G, van Laar Judith O E H, Vullings Rik
2021-Apr-14
convolutional neural networks, dilated convolution, fetal electrocardiogram, fetal heart rate, long short-term memory networks, noninvasive fetal ECG

Deep convolutional autoencoder for the simultaneous removal of baseline noise and baseline drift in chromatograms.
In Journal of chromatography. A
Kensert Alexander, Collaerts Gilles, Efthymiadis Kyriakos, Van Broeck Peter, Desmet Gert, Cabooter Deirdre
2021-Mar-23
Autoencoder, Baseline drift, Baseline noise, Deep learning, Denoising, Machine learning, Noise reduction

Artificial intelligence-enhanced white-light colonoscopy with attention guidance predicts colorectal cancer invasion depth.
In Gastrointestinal endoscopy ; h5-index 72.0
BACKGROUND AND AIMS :
METHODS :
RESULTS :
CONCLUSION :
Xiaobei Luo, Jiahao Wang, Zelong Han, Yang Yu, Zhenyu Chen, Feiyang Huang, Yumeng Xu, Jianqun Cai, Qiang Zhang, Weiguang Qiao, Chuan Ng Inn, Robby Tan, Side Liu, Hanry Yu
2021-Apr-11
artificial intelligence, colorectal cancer, invasion depth, white light colonoscopy
High-dimensional profiling clusters asthma severity by lymphoid and non-lymphoid status.
In Cell reports ; h5-index 119.0
Camiolo Matthew J, Zhou Xiaoying, Oriss Timothy B, Yan Qi, Gorry Michael, Horne William, Trudeau John B, Scholl Kathryn, Chen Wei, Kolls Jay K, Ray Prabir, Weisel Florian J, Weisel Nadine M, Aghaeepour Nima, Nadeau Kari, Wenzel Sally E, Ray Anuradha
2021-Apr-13
BAL, CyTOF, FceRI+, ICLite, IFN-g, RNA-seq, clusters, immune, multi-omics, severe asthma

Intranasal vasopressin modulates resting state brain activity across multiple neural systems: evidence from a brain imaging machine learning study.
In Neuropharmacology ; h5-index 72.0
Chen Xinling, Xu Yongbo, Li Bingjie, Wu Xiaoyan, Li Ting, Wang Li, Zhang Yijie, Lin Wanghuan, Qu Chen, Feng Chunliang
2021-Apr-11
amplitude of low-frequency fluctuation, arginine vasopressin, functional decoding, large-scale network, machine learning, resting-state fMRI
Modeling the impact of public response on the COVID-19 pandemic in Ontario.
In PloS one ; h5-index 176.0
Eastman Brydon, Meaney Cameron, Przedborski Michelle, Kohandel Mohammad
2021

SA-Net: A scale-attention network for medical image segmentation.
In PloS one ; h5-index 176.0
Hu Jingfei, Wang Hua, Wang Jie, Wang Yunqi, He Fang, Zhang Jicong
2021

Degradation Alignment in Remaining Useful Life Prediction Using Deep Cycle-Consistent Learning.
In IEEE transactions on neural networks and learning systems
Li Xiang, Zhang Wei, Ma Hui, Luo Zhong, Li Xu
2021-Apr-14

Deep Learning-Based 2-D Frequency Estimation of Multiple Sinusoidals.
In IEEE transactions on neural networks and learning systems
Pan Pingping, Zhang Yunjian, Deng Zhenmiao, Qi Wei
2021-Apr-14

The virtual physiological human gets nerves! How to account for the action of the nervous system in multiphysics simulations of human organs.
In Journal of the Royal Society, Interface
Alexiadis A, Simmons M J H, Stamatopoulos K, Batchelor H K, Moulitsas I
2021-Apr
coupling multiphysics with artificial intelligence, mathematical modelling of the intestine, multiphysics, reinforcement learning, virtual human

Signatures of COVID-19 severity and immune response in the respiratory tract microbiome.
In medRxiv : the preprint server for health sciences
Rationale :
Objective :
Methods and Measurements :
Main Results :
Conclusions :
Merenstein Carter, Liang Guanxiang, Whiteside Samantha A, Cobián-Güemes Ana G, Merlino Madeline S, Taylor Louis J, Glascock Abigail, Bittinger Kyle, Tanes Ceylan, Graham-Wooten Jevon, Khatib Layla A, Fitzgerald Ayannah S, Reddy Shantan, Baxter Amy E, Giles Josephine R, Oldridge Derek A, Meyer Nuala J, Wherry E John, McGinniss John E, Bushman Frederic D, Collman Ronald G
2021-Apr-05

Piecewise-linear modelling with feature selection for Li-ion battery end of life prognosis
ArXiv Preprint
Samuel Greenbank, David A. Howey
2021-04-15

Nonblind Image Deblurring via Deep Learning in Complex Field.
In IEEE transactions on neural networks and learning systems
Quan Yuhui, Lin Peikang, Xu Yong, Nan Yuesong, Ji Hui
2021-Apr-14

Effective Collaborative Representation Learning for Multilabel Text Categorization.
In IEEE transactions on neural networks and learning systems
Wu Hao, Qin Shaowei, Nie Rencan, Cao Jinde, Gorbachev Sergey
2021-Apr-14

Rapid Estimation of Entire Brain Strain Using Deep Learning Models.
In IEEE transactions on bio-medical engineering
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSION :
SIGNIFICANCE :
Zhan Xianghao, Liu Yuzhe, Raymond Samuel J, Vahid Alizadeh Hossein, Domel August, Gevaert Olivier, Zeineh Michael, Grant Gerald, Camarillo David Benjamin
2021-Apr-14

Applications of Machine and Deep Learning in Adaptive Immunity.
In Annual review of chemical and biomolecular engineering
Pertseva Margarita, Gao Beichen, Neumeier Daniel, Yermanos Alexander, Reddy Sai T
2021-Apr-14
Computer-Assisted Reporting and Decision Support in Standardized Radiology Reporting for Cancer Imaging.
In JCO clinical cancer informatics
PURPOSE :
METHODS :
RESULTS :
CONCLUSION :
Bizzo Bernardo C, Almeida Renata R, Alkasab Tarik K
2021-Apr

A new approach: information gain algorithm-based k-nearest neighbors hybrid diagnostic system for Parkinson's disease.
In Physical and engineering sciences in medicine
Yücelbaş Cüneyt
2021-Apr-14
Artificial intelligence systems, Information gain approach, KNN, Parkinson’s disease, Speech signals
Deep learning model for predicting gestational age after the first trimester using fetal MRI.
In European radiology ; h5-index 62.0
OBJECTIVES :
MATERIALS AND METHODS :
RESULTS :
CONCLUSIONS :
KEY POINTS :
Kojita Yasuyuki, Matsuo Hidetoshi, Kanda Tomonori, Nishio Mizuho, Sofue Keitaro, Nogami Munenobu, Kono Atsushi K, Hori Masatoshi, Murakami Takamichi
2021-Apr-14
Brain, Deep learning, Fetus, Gestational age, Pregnancy

Uncertainty measurement of radiomics features against inherent quantum noise in computed tomography imaging.
In European radiology ; h5-index 62.0
OBJECTIVES :
METHODS :
RESULTS :
CONCLUSIONS :
KEY POINTS :
Tu Shu-Ju, Chen Wei-Yuan, Wu Chen-Te
2021-Apr-14
Health care quality assurance, Medical informatics computing, Radiomics, Uncertainty, X-ray computed tomography
Model and variable selection using machine learning methods with applications to childhood stunting in Bangladesh.
In Informatics for health & social care
Khan Jahidur Rahman, Tomal Jabed H, Raheem Enayetur
2021-Apr-14
Bangladesh, Machine learning, prediction, stunting, variable importance

How to draw the line - Raman spectroscopy as a tool for the assessment of biomedicines.
In Biological chemistry
Kamp Christel, Becker Björn, Matheis Walter, Öppling Volker, Bekeredjian-Ding Isabelle
2021-Apr-13
Raman spectroscopy, machine learning, pre-processing, quality control, standardisation, vaccine

Severity analysis of road transport accidents of hazardous materials with machine learning.
In Traffic injury prevention
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
Shen Xiaoyan, Wei Shanshan
2021-Apr-13
Hazardous materials, accident severities, influencing factors, machine learning, road transportation

Early stage risk communication and community engagement (RCCE) strategies and measures against the coronavirus disease 2019 (COVID-19) pandemic crisis.
In Global health journal (Amsterdam, Netherlands)
Zhang Yanjie, Tambo Ernest, Djuikoue Ingrid C, Tazemda Gildas K, Fotsing Michael F, Zhou Xiao-Nong
2021-Mar
Coronavirus disease 2019 (COVID-19), Governance, Pandemic, Response, Risk communication and community engagement (RCCE), Trust, Vaccination

Do Deep Neural Networks Forget Facial Action Units? -- Exploring the Effects of Transfer Learning in Health Related Facial Expression Recognition
ArXiv Preprint
Pooja Prajod, Dominik Schiller, Tobias Huber, Elisabeth André
2021-04-15

Anomaly Detection Algorithm for Real-World Data and Evidence in Clinical Research.
In JMIR medical informatics ; h5-index 23.0
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
CLINICALTRIAL :
Churová Vendula, Vyškovský Roman, Maršálová Kateřina, Kudláček David, Schwarz Daniel
2021-Apr-12

Demographic Predictors of Dropping Out of Treatment (DOT) in Substance Use Disorder Treatment.
In Substance use & misuse ; h5-index 30.0
BACKGROUND :
METHODS :
FINDINGS :
CONCLUSIONS :
Hanauer Matthew, Sielbeck-Mathes Kathryn, Banks Bre, Mitori Jessica, Reuveny Adi
2021-Apr-14
Bayesian analysis, against medical advice, machine learning, substance misuse

Feasibility of deep learning-based fully automated classification of microsatellite instability in tissue slides of colorectal cancer.
In International journal of cancer ; h5-index 82.0
Lee Sung Hak, Song In Hye, Jang Hyun-Jong
2021-Apr-13
Computational pathology, computer-aided diagnosis, convolutional neural network, digital pathology
Artificial intelligence development in pediatric body magnetic resonance imaging: best ideas to adapt from adults.
In Pediatric radiology
Moore Michael M, Iyer Ramesh S, Sarwani Nabeel I, Sze Raymond W
2021-Apr-13
Artificial intelligence, Children, Convolutional neural network, Magnetic resonance imaging, Optimization, Segmentation
Unconventional non-amino acidic PET radiotracers for molecular imaging in gliomas.
In European journal of nuclear medicine and molecular imaging ; h5-index 66.0
PURPOSE :
METHODS :
RESULTS :
CONCLUSION :
Laudicella R, Quartuccio N, Argiroffi G, Alongi P, Baratto L, Califaretti E, Frantellizzi V, De Vincentis G, Del Sole A, Evangelista L, Baldari S, Bisdas S, Ceci Francesco, Iagaru Andrei
2021-Apr-13
Angiogenesis, Glioma, Neuroinflammation, PET, Perfusion, Proliferation

Comprehensive review and evaluation of computational methods for identifying FLT3-internal tandem duplication in acute myeloid leukaemia.
In Briefings in bioinformatics
Yuan Danyang, He Xiaoyu, Han Xinyin, Yang Chunyan, Liu Fei, Zhang Shuying, Luan Haijing, Li Ruilin, He Jiayin, Duan Xiaohong, Wang Dongliang, Zhou Qiming, Gao Sujun, Niu Beifang
2021-Apr-13
\n FLT3-ITD, acute myeloid leukaemia, bioinformatics, next-generation sequencing

Signatures of COVID-19 severity and immune response in the respiratory tract microbiome.
In medRxiv : the preprint server for health sciences
Rationale :
Objective :
Methods and Measurements :
Main Results :
Conclusions :
Merenstein Carter, Liang Guanxiang, Whiteside Samantha A, Cobián-Güemes Ana G, Merlino Madeline S, Taylor Louis J, Glascock Abigail, Bittinger Kyle, Tanes Ceylan, Graham-Wooten Jevon, Khatib Layla A, Fitzgerald Ayannah S, Reddy Shantan, Baxter Amy E, Giles Josephine R, Oldridge Derek A, Meyer Nuala J, Wherry E John, McGinniss John E, Bushman Frederic D, Collman Ronald G
2021-Apr-05

Classification of Rice Yield Using UAV-Based Hyperspectral Imagery and Lodging Feature.
In Plant phenomics (Washington, D.C.)
Wang Jian, Wu Bizhi, Kohnen Markus V, Lin Daqi, Yang Changcai, Wang Xiaowei, Qiang Ailing, Liu Wei, Kang Jianbin, Li Hua, Shen Jing, Yao Tianhao, Su Jun, Li Bangyu, Gu Lianfeng
2021

Electronic structure data at ground and excited state of the structural and opto-electronic properties of organic photovoltaic materials.
In Data in brief
Delesma Cornelio, Amador-Bedolla Carlos, Robles Miguel, Muñiz Jesús
2021-Apr
Density functional theory, Excited state, Organic photovoltaic, Photo-isomerization
Connectome-based prediction of brain age in Rolandic epilepsy: a protocol for a multicenter cross-sectional study.
In Annals of translational medicine
Background :
Methods :
Discussion :
Trial registration :
Wang Fuqin, Yin Yu, Yang Yang, Liang Ting, Huang Tingting, He Cheng, Hu Jie, Zhang Jingjing, Yang Yanli, Xing Qianlu, Zhang Tijiang, Liu Heng
2021-Mar
MRI, Rolandic epilepsy (RE), brain age, machine learning
Artificial neural network to predict the effect of obesity on the risk of tuberculosis infection.
In Journal of public health research
BACKGROUND :
DESIGN AND METHODS :
RESULTS :
CONCLUSION :
Badawi Alaa, Liu Christina J, Rehim Anas A, Gupta Alind
2021-Mar-15

Leveraging Genomic Associations in Precision Digital Care for Weight Loss: Cohort Study.
In Journal of medical Internet research ; h5-index 88.0
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
CLINICALTRIAL :
Sinha Ranjan, Kachru Dashyanng, Ricchetti Roshni Ray, Singh-Rambiritch Simitha, Muthukumar Karthik Marimuthu, Singaravel Vidhya, Irudayanathan Carmel, Reddy-Sinha Chandana, Junaid Imran, Sharma Garima, Airey Catherine, Francis-Lyon Patricia Alice
2021-Apr-11

BERT based Transformers lead the way in Extraction of Health Information from Social Media
ArXiv Preprint
Sidharth R, Abhiraj Tiwari, Parthivi Choubey, Saisha Kashyap, Sahil Khose, Kumud Lakara, Nishesh Singh, Ujjwal Verma
2021-04-15

BERT based Transformers lead the way in Extraction of Health Information from Social Media
ArXiv Preprint
Sidharth R, Abhiraj Tiwari, Parthivi Choubey, Saisha Kashyap, Sahil Khose, Kumud Lakara, Nishesh Singh, Ujjwal Verma
2021-04-15

A retrospective study on the effectiveness of Artificial Intelligence-based Clinical Decision Support System (AI-CDSS) to improve the incidence of hospital-related venous thromboembolism (VTE).
In Annals of translational medicine
Background :
Methods :
Results :
Conclusions :
Zhou Shuai, Ma Xudong, Jiang Songyi, Huang Xiaoyan, You Yi, Shang Hanbing, Lu Yong
2021-Mar
China, a retrospective study, artificial intelligence-based clinical decision support system (AI-CDSS), hospitalization rate, venous thromboembolism (VTE)

Tracking-based deep learning method for temporomandibular joint segmentation.
In Annals of translational medicine
Background :
Methods :
Results :
Conclusions :
Liu Yi, Lu Yao, Fan Yubo, Mao Longxia
2021-Mar
Biomedical imaging, computer-aided diagnosis, deep learning, image segmentation, low-dose computed tomography (low-dose CT), tracking
Narrative review of prostate cancer grading systems: will the Gleason scores be replaced by the Grade Groups?
In Translational andrology and urology
Montironi Rodolfo, Cheng Liang, Cimadamore Alessia, Mazzucchelli Roberta, Scarpelli Marina, Santoni Matteo, Massari Francesco, Lopez-Beltran Antonio
2021-Mar
2005 ISUP Gleason modified system, 2014 ISUP Gleason modified system, Genitourinary Pathology Society (GUPS), Gleason grading, International Society of Urological Pathology (ISUP), Prostate cancer (PCa), prognostic grade grouping

Early stage risk communication and community engagement (RCCE) strategies and measures against the coronavirus disease 2019 (COVID-19) pandemic crisis.
In Global health journal (Amsterdam, Netherlands)
Zhang Yanjie, Tambo Ernest, Djuikoue Ingrid C, Tazemda Gildas K, Fotsing Michael F, Zhou Xiao-Nong
2021-Mar
Coronavirus disease 2019 (COVID-19), Governance, Pandemic, Response, Risk communication and community engagement (RCCE), Trust, Vaccination

Prediction of hematocrit through imbalanced dataset of blood spectra.
In Healthcare technology letters
Decaro Cristoforo, Montanari Giovanni Battista, Bianconi Marco, Bellanca Gaetano
2021-Apr
Computer-Aided Diagnosis of Congenital Abnormalities of the Kidney and Urinary Tract in Children Using a Multi-Instance Deep Learning Method Based on Ultrasound Imaging Data.
In Proceedings. IEEE International Symposium on Biomedical Imaging
Yin Shi, Peng Qinmu, Li Hongming, Zhang Zhengqiang, You Xinge, Fischer Katherine, Furth Susan L, Tasian Gregory E, Fan Yong
2020-Apr
Multi-instance deep learning, congenital abnormalities of the kidney and urinary tract, sagittal view, transverse view, ultrasound images

Accessory pathway analysis using a multimodal deep learning model.
In Scientific reports ; h5-index 158.0
Nishimori Makoto, Kiuchi Kunihiko, Nishimura Kunihiro, Kusano Kengo, Yoshida Akihiro, Adachi Kazumasa, Hirayama Yasutaka, Miyazaki Yuichiro, Fujiwara Ryudo, Sommer Philipp, El Hamriti Mustapha, Imada Hiroshi, Takemoto Makoto, Takami Mitsuru, Shinohara Masakazu, Toh Ryuji, Fukuzawa Koji, Hirata Ken-Ichi
2021-Apr-13
Medical records-based chronic kidney disease phenotype for clinical care and "big data" observational and genetic studies.
In NPJ digital medicine
Shang Ning, Khan Atlas, Polubriaginof Fernanda, Zanoni Francesca, Mehl Karla, Fasel David, Drawz Paul E, Carrol Robert J, Denny Joshua C, Hathcock Matthew A, Arruda-Olson Adelaide M, Peissig Peggy L, Dart Richard A, Brilliant Murray H, Larson Eric B, Carrell David S, Pendergrass Sarah, Verma Shefali Setia, Ritchie Marylyn D, Benoit Barbara, Gainer Vivian S, Karlson Elizabeth W, Gordon Adam S, Jarvik Gail P, Stanaway Ian B, Crosslin David R, Mohan Sumit, Ionita-Laza Iuliana, Tatonetti Nicholas P, Gharavi Ali G, Hripcsak George, Weng Chunhua, Kiryluk Krzysztof
2021-Apr-13

Machine learning, transcriptome, and genotyping chip analyses provide insights into SNP markers identifying flower color in Platycodon grandiflorus.
In Scientific reports ; h5-index 158.0
Yu Go-Eun, Shin Younhee, Subramaniyam Sathiyamoorthy, Kang Sang-Ho, Lee Si-Myung, Cho Chuloh, Lee Seung-Sik, Kim Chang-Kug
2021-Apr-13
Radiotherapy for brain metastasis and long-term survival.
In Scientific reports ; h5-index 158.0
Park Kawngwoo, Bae Gi Hwan, Kim Woo Kyung, Yoo Chan-Jong, Park Cheol Wan, Kim Soo-Ki, Cha Jihye, Kim Jin Wook, Jung Jaehun
2021-Apr-13

A Hybrid MPC for Constrained Deep Reinforcement Learning applied for Planar Robotic Arm.
In ISA transactions
Al-Gabalawy Mostafa
2021-Apr-01
Artificial intelligence, Deep learning, Deep reinforcement learning, Hybrid controller, MPC, Machine learning, Planner robot, Reinforcement learning
Gene coexpression network approach to develop an immune prognostic model for pancreatic adenocarcinoma.
In World journal of surgical oncology
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
Gu Xiaoqiang, Zhang Qiqi, Wu Xueying, Fan Yue, Qian Jianxin
2021-Apr-12
Immune profile, Immune prognostic model, Immunotherapy, Pancreatic cancer, WGCNA
Deep CNN-Based CAD System for COVID-19 Detection Using Multiple Lung CT Scans.
In Journal of medical Internet research ; h5-index 88.0
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
CLINICALTRIAL :
Ghaderzadeh Mustafa, Asadi Farkhondeh, Jafari Ramezan, Bashash Davood, Abolghasemi Hassan, Aria Mehrad
2021-Apr-03

A cell-to-patient machine learning transfer approach uncovers novel basal-like breast cancer prognostic markers amongst alternative splice variants.
In BMC biology
BACKGROUND :
RESULTS :
CONCLUSIONS :
Villemin Jean-Philippe, Lorenzi Claudio, Cabrillac Marie-Sarah, Oldfield Andrew, Ritchie William, Luco Reini F
2021-Apr-12
Alternative splicing, Basal-like, Breast Cancer, Epithelial-to-mesenchymal transition, Machine learning classification, Survival
Impact of Big Data Analytics on People's Health: Overview of Systematic Reviews and Recommendations for Future Studies.
In Journal of medical Internet research ; h5-index 88.0
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
TRIAL REGISTRATION :
Borges do Nascimento Israel Júnior, Marcolino Milena Soriano, Abdulazeem Hebatullah Mohamed, Weerasekara Ishanka, Azzopardi-Muscat Natasha, Gonçalves Marcos André, Novillo-Ortiz David
2021-Apr-13
World Health Organization, big data, big data analytics, evidence-based medicine, health status, machine learning, overview, public health, secondary data analysis, systematic review

MSIFinder: a python package for detecting MSI status using random forest classifier.
In BMC bioinformatics
BACKGROUND :
RESULTS :
CONCLUSION :
Zhou Tao, Chen Libin, Guo Jing, Zhang Mengmeng, Zhang Yanrui, Cao Shanbo, Lou Feng, Wang Haijun
2021-Apr-12
Genome sequencing, Immunotherapy, Machine learning technology, Microsatellite instability, Random forest classifier
Quantitative analysis based on chest CT classifies common and severe patients with coronavirus disease 2019 pneumonia in Wuhan, China.
In Chinese journal of academic radiology
Objective :
Methods :
Results :
Conclusions :
Yang Chongtu, Cao Guijuan, Liu Fen, Liu Jiacheng, Huang Songjiang, Xiong Bin
2021-Apr-08
Artificial intelligence, Computer-assisted, Coronavirus disease 2019, Decision trees, Multidetector computed tomography, Numerical analysis

Application of network link prediction in drug discovery.
In BMC bioinformatics
BACKGROUND :
RESULTS :
CONCLUSIONS :
Abbas Khushnood, Abbasi Alireza, Dong Shi, Niu Ling, Yu Laihang, Chen Bolun, Cai Shi-Min, Hasan Qambar
2021-Apr-12
Data-driven drug discovery, Drug-target prediction, Network link prediction, Poly-pharmacy, Poly-pharmacy side effects prediction

Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images.
In Biomedical signal processing and control
Sharifrazi Danial, Alizadehsani Roohallah, Roshanzamir Mohamad, Joloudari Javad Hassannataj, Shoeibi Afshin, Jafari Mahboobeh, Hussain Sadiq, Sani Zahra Alizadeh, Hasanzadeh Fereshteh, Khozeimeh Fahime, Khosravi Abbas, Nahavandi Saeid, Panahiazar Maryam, Zare Assef, Islam Sheikh Mohammed Shariful, Acharya U Rajendra
2021-Apr-08
CNN., Covid-19, Data Mining, Deep Learning, Feature Extraction, Image Processing, Machine Learning, SVM, Sobel operator
Real-World Experience with Artificial Intelligence-Based Triage in Transferred Large Vessel Occlusion Stroke Patients.
In Cerebrovascular diseases (Basel, Switzerland)
BACKGROUND AND PURPOSE :
METHODS :
RESULTS :
CONCLUSIONS :
Morey Jacob R, Zhang Xiangnan, Yaeger Kurt A, Fiano Emily, Marayati Naoum Fares, Kellner Christopher P, De Leacy Reade A, Doshi Amish, Tuhrim Stanley, Fifi Johanna T
2021-Apr-13
Artificial intelligence, CT angiography, Stroke, Technology, Thrombectomy

Machine Learning Algorithms for Predicting Fatty Liver Disease.
In Annals of nutrition & metabolism
BACKGROUND :
METHODS :
RESULTS :
CONCLUSION :
Pei Xieyi, Deng Qingqing, Liu Zhuo, Yan Xiang, Sun Weiping
2021-Apr-13
Classification model, Extreme gradient boosting, Fatty liver disease, Machine learning
Current Status and Quality of Machine Learning-Based Radiomics Studies for Glioma Grading: A Systematic Review.
In Oncology
INTRODUCTION :
MATERIAL AND METHODS :
RESULTS :
CONCLUSION :
Tabatabaei Mohsen, Razaei Ali, Sarrami Amir Hossein, Saadatpour Zahra, Singhal Aparna, Sotoudeh Houman
2021-Apr-13
Artificial intelligence, Glioma, Neoplasm grading, Systematic review

Automatic classification of idiopathic Parkinson's disease and atypical parkinsonian syndromes combining [11C]raclopride PET uptake and MRI grey matter morphometry.
In Journal of neural engineering ; h5-index 52.0
OBJECTIVE :
APPROACH :
RESULTS :
SIGNIFICANCE :
Martins Ricardo, Oliveira Francisco Paulo Marques, Moreira Fradique, Moreira Ana Paula, Abrunhosa Antero, Januario Cristina, Castelo-Branco Miguel
2021-Apr-13
11C-Raclopride positron emission tomography, Computer-aided diagnosis, Parkinsonian syndromes, machine learning, magnetic resonance imaging, multimodality imaging
Deep CNN-Based CAD System for COVID-19 Detection Using Multiple Lung CT Scans.
In Journal of medical Internet research ; h5-index 88.0
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
CLINICALTRIAL :
Ghaderzadeh Mustafa, Asadi Farkhondeh, Jafari Ramezan, Bashash Davood, Abolghasemi Hassan, Aria Mehrad
2021-Apr-03

Machine Learning and Surgical Outcomes Prediction: A Systematic Review.
In The Journal of surgical research
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
Elfanagely Omar, Toyoda Yoshiko, Othman Sammy, Mellia Joseph A, Basta Marten, Liu Tony, Kording Konrad, Ungar Lyle, Fischer John P
2021-Apr-10
Artificial intelligence, Machine learning, Natural language processing, Surgical outcomes
Differentiation Between Osteoporotic And Neoplastic Vertebral Fractures: State Of The Art And Future Perspectives.
In Current medical imaging
Musa Aguiar Paula, Zarantonello Paola, Aparisi Gómez Maria Pilar
2021-04-12
CT, DXA, Imaging, MRI, Neoplastic, Osteoporosis, Radiographs, Vertebral Fracture

A novel framework of collaborative early warning for COVID-19 based on blockchain and smart contracts.
In Information sciences
Ouyang Liwei, Yuan Yong, Cao Yumeng, Wang Fei-Yue
2021-Apr-08
blockchain, collaborative early warning, federated learning, learning markets, smart contracts
A multiparametric MRI-based CAD system for accurate diagnosis of bladder cancer staging.
In Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Hammouda K, Khalifa F, Soliman A, Ghazal M, El-Ghar M Abou, Badawy M A, Darwish H E, Khelifi A, El-Baz A
2021-Mar-31
CAD system, Classification bladder cancer staging, Functional features, Morphological features, Texture features
A cascade and heterogeneous neural network for CT pulmonary nodule detection and its evaluation on both phantom and patient data.
In Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Xiao Yi, Wang Xiang, Li Qingchu, Fan Rongrong, Chen Rutan, Shao Ying, Chen Yanbo, Gao Yaozong, Liu Aie, Chen Lei, Liu Shiyuan
2021-Mar-04
Computed tomography (CT), Deep learning, Lung nodule detection, Phantom

Computational diagnostic methods on 2D photographs: a review of the literature.
In Journal of stomatology, oral and maxillofacial surgery
Hennocq Quentin, Khonsari Roman Hossein, Benoît Vincent, Rio Marlène, Garcelon Nicolas
2021-Apr-10
deep learning, diagnosis, dysmorphology, literature review, machine learning, photograph

A sequence-based prediction of Kruppel-like factors proteins using XGBoost and optimized features.
In Gene
Quoc Khanh Le Nguyen, Thi Do Duyen, Nguyen Trinh-Trung-Duong, Anh Le Quynh
2021-Apr-10
Kruppel-like factor, SMOTE imbalance, Zinc finger, eXtreme Gradient Boosting, feature selection, protein sequence

Development of classification criteria for the uveitides.
In American journal of ophthalmology ; h5-index 67.0
PURPOSE :
DESIGN :
METHODS :
RESULTS :
CONCLUSIONS :
Jabs Douglas A, McCluskey Peter, Oden Neal, Palestine Alan G, Peterson Jan S, Saleem Sophia M, Thorne Jennifer E, Trusko Brett E
2021-Apr-10

Artificial Intelligence in hair research: a proof-of-concept study on evaluating hair assembly features.
In International journal of cosmetic science
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
Daniels Gabriela, Tamburic Slobodanka, Benini Sergio, Randall Jane, Sanderson Tracey, Savardi Mattia
2021-Apr-13
artificial intelligence, bleached hair, hair detection, hair segmentation, machine learning, sensory assessment, virgin hair

Classification of neurological diseases using multi-dimensional cerebrospinal fluid analysis.
In Brain : a journal of neurology
Gross Catharina C, Schulte-Mecklenbeck Andreas, Madireddy Lohith, Pawlitzki Marc, Strippel Christine, Räuber Saskia, Krämer Julia, Rolfes Leoni, Ruck Tobias, Beuker Carolin, Schmidt-Pogoda Antje, Lohmann Lisa, Schneider-Hohendorf Tilman, Hahn Tim, Schwab Nicholas, Minnerup Jens, Melzer Nico, Klotz Luisa, Meuth Sven G, Hörste Gerd Meyer Zu, Baranzini Sergio E, Wiendl Heinz
2021-Apr-12
CNS autoimmunity, CSF, differential diagnosis, immune profile, multiple sclerosis

A heterogeneous ensemble learning method for neuroblastoma survival prediction.
In IEEE journal of biomedical and health informatics
Feng Yi, Wang Xianglin, Zhang Juan
2021-Apr-13

Attention-based LSTM for Non-Contact Sleep Stage Classification using IR-UWB radar.
In IEEE journal of biomedical and health informatics
Kwon Hyun Bin, Choi Sang Ho, Lee Dongseok, Son Dongyeon, Yoon Heenam, Lee Mi Hyun, Lee Yu Jin, Park Kwang Suk
2021-Apr-13

Deep learning-based ECG-free Cardiac Navigation for Multi-Dimensional and Motion-Resolved Continuous Magnetic Resonance Imaging.
In IEEE transactions on medical imaging ; h5-index 74.0
Hoppe Elisabeth, Wetzl Jens, Yoon Seung Su, Bacher Mario, Roser Philipp, Stimpel Bernhard, Preuhs Alexander, Maier Andreas
2021-Apr-13

Abdominal Organ Transplantation: Noteworthy Literature in 2020.
In Seminars in cardiothoracic and vascular anesthesia ; h5-index 16.0
Wang Ryan F, Fagelman Erica J, Smith Natalie K, Sakai Tetsuro
2021-Apr-13
COVID-19, anesthesiology, intestine, kidney, liver, pancreas, transplantation

COVID-19 information retrieval with deep-learning based semantic search, question answering, and abstractive summarization.
In NPJ digital medicine
Esteva Andre, Kale Anuprit, Paulus Romain, Hashimoto Kazuma, Yin Wenpeng, Radev Dragomir, Socher Richard
2021-Apr-12
Predictive performance of machine and statistical learning methods: Impact of data-generating processes on external validity in the "large N, small p" setting.
In Statistical methods in medical research
Austin Peter C, Harrell Frank E, Steyerberg Ewout W
2021-Apr-13
Machine learning, Monte Carlo simulations, data-generating process, generalized boosting methods, logistic regression, random forests
AMD Genetics: Methods and Analyses for Association, Progression, and Prediction.
In Advances in experimental medicine and biology
Yan Qi, Ding Ying, Weeks Daniel E, Chen Wei
2021
AMD genetics, GWAS, Machine learning, Prediction, Progression, Statistical methods

Prognostic tools for elderly patients with sepsis: in search of new predictive models.
In Internal and emergency medicine ; h5-index 30.0
Gamboa-Antiñolo Fernando-Miguel
2021-Apr-13

An Explainable Artificial Intelligence Framework for the Deterioration Risk Prediction of Hepatitis Patients.
In Journal of medical systems ; h5-index 48.0
Peng Junfeng, Zou Kaiqiang, Zhou Mi, Teng Yi, Zhu Xiongyong, Zhang Feifei, Xu Jun
2021-Apr-13
Hepatitis, Local Interpretable Model-agnostic Explanations, Model interpretation, Partial Dependence Plots, SHapley Additive exPlanations
Human-recognizable CT image features of subsolid lung nodules associated with diagnosis and classification by convolutional neural networks.
In European radiology ; h5-index 62.0
OBJECTIVES :
METHODS :
RESULTS :
CONCLUSION :
KEY POINTS :
Jiang Beibei, Zhang Yaping, Zhang Lu, H de Bock Geertruida, Vliegenthart Rozemarijn, Xie Xueqian
2021-Apr-13
Adenocarcinoma of lung, Artificial intelligence, Deep learning, X-ray computed tomography

Distributed learning: a reliable privacy-preserving strategy to change multicenter collaborations using AI.
In European journal of nuclear medicine and molecular imaging ; h5-index 66.0
PURPOSE :
METHODS :
RESULTS :
CONCLUSION :
Kirienko Margarita, Sollini Martina, Ninatti Gaia, Loiacono Daniele, Giacomello Edoardo, Gozzi Noemi, Amigoni Francesco, Mainardi Luca, Lanzi Pier Luca, Chiti Arturo
2021-Apr-13
Clinical trial, Distributed learning, Ethics, Federated learning, Machine learning, Privacy

Prediction of count phenotypes using high-resolution images and genomic data.
In G3 (Bethesda, Md.)
Kismiantini Montesinos-López, Osval Antonio Crossa, José Setiawan, Ezra Putranda Wutsqa
2021-Feb
count data, generalized poisson regression, genomic data, genomic selection, high-resolution images, plant breeding
Impact of Big Data Analytics on People's Health: Overview of Systematic Reviews and Recommendations for Future Studies.
In Journal of medical Internet research ; h5-index 88.0
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
TRIAL REGISTRATION :
Borges do Nascimento Israel Júnior, Marcolino Milena Soriano, Abdulazeem Hebatullah Mohamed, Weerasekara Ishanka, Azzopardi-Muscat Natasha, Gonçalves Marcos André, Novillo-Ortiz David
2021-Apr-13
World Health Organization, big data, big data analytics, evidence-based medicine, health status, machine learning, overview, public health, secondary data analysis, systematic review

Embracing nanomaterials' interactions with the innate immune system.
In Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology
Teunissen Abraham J P, Burnett Marianne E, Prévot Geoffrey, Klein Emma D, Bivona Daniel, Mulder Willem J M
2021-Apr-13
innate immunotherapy, nanomaterials, nanomedicine, nanotherapeutics

Predicting Protein and Fat Content in Human Donor Milk Using Machine Learning.
In The Journal of nutrition ; h5-index 61.0
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
Wong Rachel K, Pitino Michael A, Mahmood Rafid, Zhu Ian Yihang, Stone Debbie, O’Connor Deborah L, Unger Sharon, Chan Timothy C Y
2021-Apr-13
donor human milk, human milk banking, machine learning, macronutrient analysis, macronutrient prediction
Development and Validation of Machine Learning-Based Race-Specific Models to Predict 10-Year Risk of Heart Failure: A Multi-Cohort Analysis.
In Circulation ; h5-index 165.0
Segar Matthew W, Jaeger Byron C, Patel Kershaw V, Nambi Vijay, Ndumele Chiadi E, Correa Adolfo, Butler Javed, Chandra Alvin, Ayers Colby, Rao Shreya, Lewis Alana A, Raffield Laura M, Rodriguez Carlos J, Michos Erin D, Ballantyne Christie M, Hall Michael E, Mentz Robert J, de Lemos James A, Pandey Ambarish
2021-Apr-13
A multi-center study of COVID-19 patient prognosis using deep learning-based CT image analysis and electronic health records.
In European journal of radiology ; h5-index 47.0
PURPOSE :
METHOD :
RESULTS :
CONCLUSION :
Gong Kuang, Wu Dufan, Arru Chiara Daniela, Homayounieh Fatemeh, Neumark Nir, Guan Jiahui, Buch Varun, Kim Kyungsang, Bizzo Bernardo Canedo, Ren Hui, Tak Won Young, Park Soo Young, Lee Yu Rim, Kang Min Kyu, Park Jung Gil, Carriero Alessandro, Saba Luca, Masjedi Mahsa, Talari Hamidreza, Babaei Rosa, Mobin Hadi Karimi, Ebrahimian Shadi, Guo Ning, Digumarthy Subba R, Dayan Ittai, Kalra Mannudeep K, Li Quanzheng
2021-Feb-05
COVID-19, Computed tomography, Deep learning, Electronic health records, Prognosis

The Curious Case of Hallucinations in Neural Machine Translation
ArXiv Preprint
Vikas Raunak, Arul Menezes, Marcin Junczys-Dowmunt
2021-04-14
Outcomes of Artificial Intelligence Volumetric Assessment of Kidneys and Renal Tumors for Preoperative Assessment of Nephron Sparing Interventions.
In Journal of endourology
Houshyar Roozbeh, Glavis-Bloom Justin, Bui Thanh-Lan, Chahine Chantal, Bardis Michelle D, Ushinsky Alexander, Liu Hanna, Bhatter Param, Lebby Elliott, Fujimoto Dylann, Grant William, Tran-Harding Karen, Landman Jaime, Chow Daniel S, Chang Peter D
2021-Apr-13

Automatic classification of children with autism spectrum disorder by using a computerized visual-orienting task.
In PsyCh journal
He Qiao, Wang Qiandong, Wu Yaxue, Yi Li, Wei Kunlin
2021-Apr-12
autism diagnosis, autism screening, autism spectrum disorder, automatic classification, machine learning, visual orienting

Multidimensional Characterization of Single-Molecule Dynamics in a Plasmonic Nanocavity.
In Angewandte Chemie (International ed. in English)
Domulevicz Lucas, Jeong Hyunhak, Paul Nayan K, Gomez-Diaz Juan Sebastian, Hihath Joshua
2021-Apr-12
Density Functional Calculations, Molecular electronics, Picocavity, Raman spectroscopy, Single-molecule studies

Machine-learning models predicting osteoarthritis associated with the lead blood level.
In Environmental science and pollution research international
Kim Kisok, Park Hyejin
2021-Apr-12
KNHNES, Lead exposure, Machine-learning, Osteoarthritis, Post-menopausal women, Predictive model

Automatic detection of leakage point in central serous chorioretinopathy of fundus fluorescein angiography based on time sequence deep learning.
In Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie
PURPOSE :
METHODS :
RESULTS :
CONCLUSIONS :
Chen Menglu, Jin Kai, You Kun, Xu Yufeng, Wang Yao, Yip Chee-Chew, Wu Jian, Ye Juan
2021-Apr-12
Central serous chorioretinopathy, Deep learning, Fundus fluorescein angiography, Time sequence
Quantitative analysis based on chest CT classifies common and severe patients with coronavirus disease 2019 pneumonia in Wuhan, China.
In Chinese journal of academic radiology
Objective :
Methods :
Results :
Conclusions :
Yang Chongtu, Cao Guijuan, Liu Fen, Liu Jiacheng, Huang Songjiang, Xiong Bin
2021-Apr-08
Artificial intelligence, Computer-assisted, Coronavirus disease 2019, Decision trees, Multidetector computed tomography, Numerical analysis

Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images.
In Biomedical signal processing and control
Sharifrazi Danial, Alizadehsani Roohallah, Roshanzamir Mohamad, Joloudari Javad Hassannataj, Shoeibi Afshin, Jafari Mahboobeh, Hussain Sadiq, Sani Zahra Alizadeh, Hasanzadeh Fereshteh, Khozeimeh Fahime, Khosravi Abbas, Nahavandi Saeid, Panahiazar Maryam, Zare Assef, Islam Sheikh Mohammed Shariful, Acharya U Rajendra
2021-Apr-08
CNN., Covid-19, Data Mining, Deep Learning, Feature Extraction, Image Processing, Machine Learning, SVM, Sobel operator

A novel framework of collaborative early warning for COVID-19 based on blockchain and smart contracts.
In Information sciences
Ouyang Liwei, Yuan Yong, Cao Yumeng, Wang Fei-Yue
2021-Apr-08
blockchain, collaborative early warning, federated learning, learning markets, smart contracts
Vascular smooth muscle-derived Trpv1+ progenitors are a source of cold-induced thermogenic adipocytes.
In Nature metabolism
Shamsi Farnaz, Piper Mary, Ho Li-Lun, Huang Tian Lian, Gupta Anushka, Streets Aaron, Lynes Matthew D, Tseng Yu-Hua
2021-Apr-12

COVID-19 information retrieval with deep-learning based semantic search, question answering, and abstractive summarization.
In NPJ digital medicine
Esteva Andre, Kale Anuprit, Paulus Romain, Hashimoto Kazuma, Yin Wenpeng, Radev Dragomir, Socher Richard
2021-Apr-12

Fiji plugins for qualitative image annotations: routine analysis and application to image classification.
In F1000Research
Thomas Laurent S V, Schaefer Franz, Gehrig Jochen
2020
Fiji, ImageJ, KNIME, bioimage analysis, ground-truth labelling, image annotation, image classification, qualitative analysis

Abdominal Organ Transplantation: Noteworthy Literature in 2020.
In Seminars in cardiothoracic and vascular anesthesia ; h5-index 16.0
Wang Ryan F, Fagelman Erica J, Smith Natalie K, Sakai Tetsuro
2021-Apr-13
COVID-19, anesthesiology, intestine, kidney, liver, pancreas, transplantation

Towards a framework for evaluating the safety, acceptability and efficacy of AI systems for health: an initial synthesis
ArXiv Preprint
Jessica Morley, Caroline Morton, Kassandra Karpathakis, Mariarosaria Taddeo, Luciano Floridi
2021-04-14

Inflated prediction accuracy of neuropsychiatric biomarkers caused by data leakage in feature selection.
In Scientific reports ; h5-index 158.0
Shim Miseon, Lee Seung-Hwan, Hwang Han-Jeong
2021-Apr-12

Prediction of ambulatory outcome in patients with corona radiata infarction using deep learning.
In Scientific reports ; h5-index 158.0
Kim Jeoung Kun, Choo Yoo Jin, Shin Hyunkwang, Choi Gyu Sang, Chang Min Cheol
2021-Apr-12

Tens of images can suffice to train neural networks for malignant leukocyte detection.
In Scientific reports ; h5-index 158.0
Schouten Jens P E, Matek Christian, Jacobs Luuk F P, Buck Michèle C, Bošnački Dragan, Marr Carsten
2021-Apr-12
Impact of image compression on deep learning-based mammogram classification.
In Scientific reports ; h5-index 158.0
Jo Yong-Yeon, Choi Young Sang, Park Hyun Woo, Lee Jae Hyeok, Jung Hyojung, Kim Hyo-Eun, Ko Kyounglan, Lee Chan Wha, Cha Hyo Soung, Hwangbo Yul
2021-Apr-12

Predicting women with depressive symptoms postpartum with machine learning methods.
In Scientific reports ; h5-index 158.0
Andersson Sam, Bathula Deepti R, Iliadis Stavros I, Walter Martin, Skalkidou Alkistis
2021-Apr-12

UWB-gestures, a public dataset of dynamic hand gestures acquired using impulse radar sensors.
In Scientific data
Ahmed Shahzad, Wang Dingyang, Park Junyoung, Cho Sung Ho
2021-Apr-12

All urban areas' energy use data across 640 districts in India for the year 2011.
In Scientific data
Tong Kangkang, Nagpure Ajay Singh, Ramaswami Anu
2021-Apr-12

Ultrafast light field tomography for snapshot transient and non-line-of-sight imaging.
In Nature communications ; h5-index 260.0
Feng Xiaohua, Gao Liang
2021-04-12
A multi-center study of COVID-19 patient prognosis using deep learning-based CT image analysis and electronic health records.
In European journal of radiology ; h5-index 47.0
PURPOSE :
METHOD :
RESULTS :
CONCLUSION :
Gong Kuang, Wu Dufan, Arru Chiara Daniela, Homayounieh Fatemeh, Neumark Nir, Guan Jiahui, Buch Varun, Kim Kyungsang, Bizzo Bernardo Canedo, Ren Hui, Tak Won Young, Park Soo Young, Lee Yu Rim, Kang Min Kyu, Park Jung Gil, Carriero Alessandro, Saba Luca, Masjedi Mahsa, Talari Hamidreza, Babaei Rosa, Mobin Hadi Karimi, Ebrahimian Shadi, Guo Ning, Digumarthy Subba R, Dayan Ittai, Kalra Mannudeep K, Li Quanzheng
2021-Feb-05
COVID-19, Computed tomography, Deep learning, Electronic health records, Prognosis

A novel based-performance degradation indicator RUL prediction model and its application in rolling bearing.
In ISA transactions
Yang Chuangyan, Ma Jun, Wang Xiaodong, Li Xiang, Li Zhuorui, Luo Ting
2021-Mar-31
Feature fusion, GRNN, Health indicators, RUL prediction, Rolling bearing

Probiotics in food allergy.
In Current opinion in allergy and clinical immunology
PURPOSE OF REVIEW :
RECENT FINDINGS :
SUMMARY :
Mennini Maurizio, Arasi Stefania, Artesani Maria Cristina, Fiocchi Alessandro Giovanni
2021-Mar-31

How does "A Bit of Everything American" state feel about COVID-19? A quantitative Twitter analysis of the pandemic in Ohio.
In Journal of computational social science
Caliskan Cantay
2021-Apr-05
Awareness, COVID-19, Emotion classification, Twitter
Leveraging machine learning to characterize the role of socio-economic determinants on physical health and well-being among veterans.
In Computers in biology and medicine
INTRODUCTION :
METHODS :
RESULTS :
CONCLUSION :
Makridis Christos A, Zhao David Y, Bejan Cosmin A, Alterovitz Gil
2021-Apr-03
Health informatics, Machine learning, Socioeconomics, Subjective well-being, Veterans

High-throughput label-free detection of DNA-to-RNA transcription inhibition using brightfield microscopy and deep neural networks.
In Computers in biology and medicine
Sauvat Allan, Cerrato Giulia, Humeau Juliette, Leduc Marion, Kepp Oliver, Kroemer Guido
2021-Apr-04
Cellular imaging, Convolutional neural network, Immunogenic cell death, Semantic segmentation, Systems biology, Transmitted light microscopy, UNET

Opportunity for efficiency in clinical development: An overview of adaptive clinical trial designs and innovative machine learning tools, with examples from the cardiovascular field.
In Contemporary clinical trials
Sverdlov Oleksandr, Ryeznik Yevgen, Wong Weng Kee
2021-Apr-09
Adaptive designs, Cardiovascular trials, Machine learning, Master protocols, Nature-inspired metaheuristics, Rare diseases, Seamless designs

Classification criteria for multiple evanescent white dot syndrome.
In American journal of ophthalmology ; h5-index 67.0
PURPOSE :
DESIGN :
METHODS :
RESULTS :
CONCLUSIONS :
Jabs Douglas A, Brezin Antoine P, Dick Andrew D, Levinson Ralph D, Lim Lyndell L, McCluskey Peter, Oden Neal, Palestine Alan G, Thorne Jennifer E, Trusko Brett E, Vitale Albert, Wittenberg Susan E
2021-Apr-09

Classification criteria for acute posterior multifocal placoid pigment epitheliopathy.
In American journal of ophthalmology ; h5-index 67.0
PURPOSE :
DESIGN :
METHODS :
RESULTS :
CONCLUSIONS :
The Standardization Of Uveitis Nomenclature Sun Working Group Jabs, Douglas A Brezin, Antoine P Dick, Andrew D Levinson, Ralph D Lim, Lyndell L McCluskey, Peter Oden, Neal Palestine, Alan G Thorne, Jennifer E Trusko, Brett E Vitale, Albert Wittenberg
2021-Apr-09

Classification criteria for tubulointerstitial nephritis with uveitis syndrome.
In American journal of ophthalmology ; h5-index 67.0
PURPOSE :
METHODS :
RESULTS :
CONCLUSIONS :
Jabs Douglas A, Denniston Alastair K, Galor Anat, Lightman Susan, McCluskey Peter, Oden Neal, Palestine Alan G, Rosenbaum James T, Saleem Sophia M, Thorne Jennifer E, Trusko Brett E
2021-Apr-09
TINU-associated anterior uveitis

Classification criteria for multiple sclerosis-associated intermediate uveitis: Multiple sclerosis uveitis.
In American journal of ophthalmology ; h5-index 67.0
PURPOSE :
DESIGN :
METHODS :
RESULTS :
CONCLUSIONS :
**
2021-Apr-09

Classification criteria for juvenile idiopathic arthritis-associated chronic anterior uveitis.
In American journal of ophthalmology ; h5-index 67.0
PURPOSE :
DESIGN :
METHODS :
RESULTS :
CONCLUSIONS :
Jabs Douglas A, Acharya Nisha R, Chee Soon Phaik, Goldstein Debra, McCluskey Peter, Murray Philip I, Oden Neal, Palestine Alan G, Rosenbaum James T, Thorne Jennifer E, Trusko Brett E
2021-Apr-09
JIA-associated chronic anterior uveitis

Classification criteria for syphilitic uveitis.
In American journal of ophthalmology ; h5-index 67.0
PURPOSE :
METHODS :
RESULTS :
CONCLUSIONS :
**
2021-Apr-09

Classification criteria for cytomegalovirus anterior uveitis.
In American journal of ophthalmology ; h5-index 67.0
PURPOSE :
METHODS :
RESULTS :
CONCLUSIONS :
Jabs Douglas A, Caspers Laure, Chee Soon-Phaik, Galor Anat, Goldstein Debra, McCluskey Peter, Murray Philip I, Oden Neal, Palestine Alan G, Rosenbaum James T, Thorne Jennifer E, Trusko Brett E
2021-Apr-09
A Deep-Learning Algorithm for Detecting Acute Myocardial Infarction.
In EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology
BACKGROUND :
AIMS :
METHODS :
RESULTS :
CONCLUSIONS :
Liu Wen-Cheng, Lin Chin-Sheng, Tsai Chien-Sung, Tsao Tien-Ping, Cheng Cheng-Chung, Liou Jun-Ting, Lin Wei-Shiang, Cheng Shu-Meng, Lou Yu-Sheng, Lee Chia-Cheng, Lin Chin
2021-Apr-13

COVID-19 prediction using LSTM Algorithm: GCC Case Study.
In Informatics in medicine unlocked
Ghany Kareem Kamal A, Zawbaa Hossam M, Sabri Heba M
2021-Apr-06
Artificial Intelligence, COVID-19, Deep Learning, LSTM, Prediction

Classification criteria for Vogt-Koyanagi-Harada Disease.
In American journal of ophthalmology ; h5-index 67.0
PURPOSE :
METHODS :
RESULTS :
CONCLUSIONS :
Jabs Douglas A, Denniston Alastair K, Dick Andrew D, Dunn James P, Kramer Michal, McCluskey Peter, Oden Neal, Okada Annabelle A, Palestine Alan G, Read Russell W, Thorne Jennifer E, Trusko Brett E
2021-Apr-09

Classification criteria for multifocal choroiditis with panuveitis.
In American journal of ophthalmology ; h5-index 67.0
PURPOSE :
METHODS :
RESULTS :
CONCLUSIONS :
Jabs Douglas A, Brezin Antoine P, Levinson Ralph D, McCluskey Peter, Oden Neal, Palestine Alan G, Read Russell W, Thorne Jennifer E, Trusko Brett E, Vitale Albert, Wittenberg Susan E
2021-Apr-09

Classification criteria for cytomegalovirus retinitis.
In American journal of ophthalmology ; h5-index 67.0
PURPOSE :
DESIGN :
METHODS :
RESULTS :
CONCLUSIONS :
Jabs Douglas A, Belfort Rubens, Bodaghi Bahram, Graham Elizabeth, Holland Gary N, Lightman Susan L, Oden Neal, Palestine Alan G, Smith Justine R, Thorne Jennifer E, Trusko Brett E, Van Gelder Russell N
2021-Apr-09

Classification criteria for tubercular uveitis.
In American journal of ophthalmology ; h5-index 67.0
PURPOSE :
METHODS :
RESULTS :
CONCLUSIONS :
The Standardization Of Uveitis Nomenclature Sun Working Group Jabs, Douglas A Belfort, Rubens Bodaghi, Bahram Graham, Elizabeth Gupta, Vishali Holland, Gary N Lightman, Susan L Oden, Neal Palestine, Alan G Smith, Justine R Thorne, Jennifer E Trusko
2021-Apr-09
Tubercular uveitis

Classification criteria for serpiginous choroiditis.
In American journal of ophthalmology ; h5-index 67.0
PURPOSE :
DESIGN :
METHODS :
RESULTS :
CONCLUSIONS :
Jabs Douglas A, Brezin Antoine P, Levinson Ralph D, Oden Neal, Palestine Alan G, Rao Narsing A, Thorne Jennifer E, Trusko Brett E, Vitale Albert, Wittenberg Susan E
2021-Apr-09

Classification criteria for acute retinal necrosis syndrome.
In American journal of ophthalmology ; h5-index 67.0
PURPOSE :
DESIGN :
METHODS :
RESULTS :
CONCLUSIONS :
Jabs Douglas A, Belfort Rubens, Bodaghi Bahram, Graham Elizabeth, Holland Gary N, Lightman Susan L, Margolis Todd P, Oden Neal, Palestine Alan, Smith Justine R, Thorne Jennifer E, Trusko Brett E, Van Gelder Russell N
2021-Apr-09
Acute retinal necrosis

Classification criteria for punctate inner choroiditis.
In American journal of ophthalmology ; h5-index 67.0
PURPOSE :
DESIGN :
METHODS :
RESULTS :
CONCLUSIONS :
The Standardization Of Uveitis Nomenclature Sun Working Group Jabs, Douglas A Brezin, Antoine P Levinson, Ralph D Lightman, Susan L McCluskey, Peter Oden, Neal Palestine, Alan G Rao, Narsing A Thorne, Jennifer E Trusko, Brett E Vitale, Albert Wittenberg
2021-Apr-09

Classification criteria for varicella zoster virus anterior uveitis.
In American journal of ophthalmology ; h5-index 67.0
PURPOSE :
METHODS :
RESULTS :
CONCLUSIONS :
Jabs Douglas A, Acharya Nisha R, Caspers Laure, Chee Soon-Phaik, Goldstein Debra, McCluskey Peter, Murray Philip I, Oden Neal, Palestine Alan G, Rosenbaum James T, Thorne Jennifer E, Trusko Brett E
2021-Apr-09

Classification criteria for herpes simplex virus anterior uveitis.
In American journal of ophthalmology ; h5-index 67.0
PURPOSE :
METHODS :
RESULTS :
CONCLUSIONS :
Jabs Douglas A, Acharya Nisha R, Caspers Laure, Chee Soon-Phaik, Goldstein Debra, McCluskey Peter, Murray Philip I, Oden Neal, Palestine Alan G, Rosenbaum James T, Thorne Jennifer E, Trusko Brett E
2021-Apr-09

Classification criteria for Behçet Disease Uveitis.
In American journal of ophthalmology ; h5-index 67.0
PURPOSE :
DESIGN :
METHODS :
RESULTS :
CONCLUSIONS :
Jabs Douglas A, Dick Andrew D, Dunn James P, Kramer Michal, McCluskey Peter, Oden Neal, Okada Annabelle A, Palestine Alan G, Read Russell W, Thorne Jennifer E, Trusko Brett E, Yeh Steven
2021-Apr-09
Quality gaps in public pancreas imaging datasets: Implications & challenges for AI applications.
In Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.]
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSION :
Suman Garima, Patra Anurima, Korfiatis Panagiotis, Majumder Shounak, Chari Suresh T, Truty Mark J, Fletcher Joel G, Goenka Ajit H
2021-Apr-02
Benchmarking, Bias, Deep learning, Metadata, Pancreatic carcinoma

Machine Learning Approaches in COVID-19 Diagnosis, Mortality, and Severity Risk Prediction: A Review.
In Informatics in medicine unlocked
Alballa Norah, Al-Turaiki Isra
2021-Apr-03
COVID-19, Machine learning, artificial intelligence, diagnosis, feature selection, prognosis

Classification criteria for Fuchs uveitis syndrome.
In American journal of ophthalmology ; h5-index 67.0
PURPOSE :
DESIGN :
METHODS :
RESULTS :
CONCLUSIONS :
Working Group The Standardization Of Uveitis Nomenclature Sun, Jabs Douglas A, Acharya Nisha R, Chee Soon-Phaik, Goldstein Debra, McCluskey Peter, Murray Philip I, Oden Neal, Palestine Alan G, Rosenbaum James T, Thorne Jennifer E, Trusko Brett E
2021-Apr-09

Classification criteria for pars planitis.
In American journal of ophthalmology ; h5-index 67.0
PURPOSE :
METHODS :
RESULTS :
CONCLUSIONS :
The Standardization Of Uveitis Nomenclature Sun Working Group Jabs, Douglas A Denniston, Alastair K Dick, Andrew D Dunn, James P Kramer, Michal Oden, Neal Okada, Annabelle A Palestine, Alan G Read, Russell W Thorne, Jennifer E Trusko, Brett E Yeh
2021-Apr-09

Classification criteria for Sympathetic Ophthalmia.
In American journal of ophthalmology ; h5-index 67.0
PURPOSE :
METHODS :
RESULTS :
CONCLUSIONS :
Jabs Douglas A, Dick Andrew, Kramer Michal, Muccioli Cristina, Oden Neal, Okada Annabelle A, Palestine Alan G, Rao Narsing A, Read Russell W, Thorne Jennifer E, Trusko Brett E
2021-Apr-09

Classification criteria for spondyloarthritis/HLA-B27-associated anterior uveitis.
In American journal of ophthalmology ; h5-index 67.0
PURPOSE :
METHODS :
RESULTS :
CONCLUSIONS :
Jabs Douglas A, Acharya Nisha R, Chee Soon-Phaik, Goldstein Debra, McCluskey Peter, Murray Philip I, Oden Neal, Palestine Alan G, Rosenbaum James T, Thorne Jennifer E, Trusko Brett E
2021-Apr-09

Classification criteria for birdshot chorioretinitis.
In American journal of ophthalmology ; h5-index 67.0
PURPOSE :
DESIGN :
METHODS :
RESULTS :
CONCLUSIONS :
The Standardization Of Uveitis Nomenclature Sun Working Group Jabs, Douglas A Brezin, Antoine P Levinson, Ralph D McCluskey, Peter Oden, Neal Palestine, Alan G Read, Russell W Thorne, Jennifer E Trusko, Brett E Vitale, Albert Wittenberg
2021-Apr-09

Classification criteria for toxoplasmic retinitis.
In American journal of ophthalmology ; h5-index 67.0
PURPOSE :
DESIGN :
METHODS :
RESULTS :
CONCLUSIONS :
**
2021-Apr-09

Classification criteria for sarcoidosis-associated uveitis.
In American journal of ophthalmology ; h5-index 67.0
PURPOSE :
METHODS :
RESULTS :
CONCLUSIONS :
Jabs Douglas A, Acharya Nisha R, Denniston Alastair K, Lightman Susan L, McCluskey Peter, Oden Neal, Okada Annabelle A, Palestine Alan G, Thorne Jennifer E, Trusko Brett E, Vitale Albert
2021-Apr-09

A direct comparison of theory-driven and machine learning prediction of suicide: A meta-analysis.
In PloS one ; h5-index 176.0
Schafer Katherine M, Kennedy Grace, Gallyer Austin, Resnik Philip
2021
Comparison of Multiple Machine Learning-based Predictions of Growth in COVID-19 Confirmed Infection Cases in Countries using Non-Pharmaceutical Interventions and Cultural Dimensions Data: Development and Validation.
In Journal of medical Internet research ; h5-index 88.0
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
CLINICALTRIAL :
Yeung Arnold Ys, Roewer-Despres Francois, Rosella Laura, Rudzicz Frank
2021-Mar-23

Data Extrapolation from Learned Prior Images for Truncation Correction in Computed Tomography.
In IEEE transactions on medical imaging ; h5-index 74.0
Huang Yixing, Preuhs Alexander, Manhart Michael, Lauritsch Guenter, Maier Andreas
2021-Apr-12

Artificial intelligence applications in restorative dentistry: A systematic review.
In The Journal of prosthetic dentistry ; h5-index 51.0
STATEMENT OF PROBLEM :
PURPOSE :
MATERIAL AND METHODS :
RESULTS :
CONCLUSIONS :
Revilla-León Marta, Gómez-Polo Miguel, Vyas Shantanu, Barmak Basir A, Özcan Mutlu, Att Wael, Krishnamurthy Vinayak R
2021-Apr-09

Covid, AI, and Robotics-A Neurologist's Perspective.
In Frontiers in robotics and AI
Ahmed Syed Nizamuddin
2021
AI, COVID-19, artificial intelligence, neurologist, neurology, robotics, telemedicine

Antibody Disulfide Bond Reduction and Recovery during Biopharmaceutical Process Development - A Review.
In Biotechnology and bioengineering
Ren Tingwei, Tan Zhijun, Ehamparanathan Vivekh, Lewandowski Angela, Ghose Sanchayita, Li Zheng Jian
2021-Apr-12
Antibody, Disulfide bond, Process development, Reduction/Oxidation

Artificial intelligence to deep learning: machine intelligence approach for drug discovery.
In Molecular diversity
Gupta Rohan, Srivastava Devesh, Sahu Mehar, Tiwari Swati, Ambasta Rashmi K, Kumar Pravir
2021-Apr-12
Artificial intelligence, Artificial neural networks, Computer-aided drug design, Deep learning, Drug design and discovery, Drug repurposing, Machine learning, Quantitative structure–activity relationship, Virtual screening
Current and emerging artificial intelligence applications for pediatric abdominal imaging.
In Pediatric radiology
Dillman Jonathan R, Somasundaram Elan, Brady Samuel L, He Lili
2021-Apr-12
Abdomen, Artificial intelligence, Children, Computed tomography, Deep learning, Machine learning, Magnetic resonance imaging

Evaluation of the effluent quality parameters of wastewater treatment plant based on uncertainty analysis and post-processing approaches (case study).
In Water science and technology : a journal of the International Association on Water Pollution Research
Hejabi Nasim, Saghebian Seyed Mahdi, Aalami Mohammad Taghi, Nourani Vahid
2021-Apr

Sparse angle CT reconstruction with weighted dictionary learning algorithm based on adaptive group-sparsity regularization.
In Journal of X-ray science and technology
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
Yang Tiejun, Tang Lu, Tang Qi, Li Lei
2021-Apr-02
Adaptive group-sparsity regularization, CT reconstruction, dictionary learning, spares angle

Olfactory Phenotypes Differentiate Cognitively Unimpaired Seniors from Alzheimer's Disease and Mild Cognitive Impairment: A Combined Machine Learning and Traditional Statistical Approach.
In Journal of Alzheimer's disease : JAD
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSION :
Li Jennifer, Bur Andres M, Villwock Mark R, Shankar Suraj, Palmer Gracie, Sykes Kevin J, Villwock Jennifer A
2021-Apr-05
Alzheimer’s disease, machine learning, mild cognitive impairment, olfaction, olfactory dysfunction

Real-time prediction of upcoming respiratory events via machine learning using snoring sound signal.
In Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine
STUDY OBJECTIVES :
METHODS :
RESULTS :
CONCLUSIONS :
Wang Bochun, Yi Xuanyu, Gao Jiandong, Li Yanru, Xu Wen, Wu Ji, Han Demin
2021-Apr-12
acoustic features, early warning system, obstructive sleep apnea, real-time prediction, snoring related breathing sound
Medical Education and Training Within Congenital Cardiology: Current Global Status and Future Directions in A Post COVID-19 World.
In Cardiology in the young
McMahon Colin J, Tretter Justin T, Redington Andrew N, Bu’Lock Frances, Zühlke Liesl, Heying Ruth, Mattos Sandra, Kumar R Krishna, Jacobs Jeffrey P, Windram Jonathan D
2021-Apr-12
Adult Congenital Heart Disease, Congenital Cardiology, Congenital Heart Disease, Education, Paediatric Cardiology, Training

Knowledge graphs and their applications in drug discovery.
In Expert opinion on drug discovery ; h5-index 34.0
INTRODUCTION :
AREAS COVERED :
EXPERT OPINION :
MacLean Finlay
2021-Apr-12
Biomedical knowledge graphs, drug repositioning, drug repurposing, graph machine learning, heterogeneous information networks, knowledge graph embedding, network embeddings, network medicine, network pharmacology

PepFormer: End-to-End Transformer-Based Siamese Network to Predict and Enhance Peptide Detectability Based on Sequence Only.
In Analytical chemistry
Cheng Hao, Rao Bing, Liu Lei, Cui Lizhen, Xiao Guobao, Su Ran, Wei Leyi
2021-Apr-12

Using machine learning to predict paediatric 30-day unplanned hospital readmissions: a case-control retrospective analysis of medical records, including written discharge documentation.
In Australian health review : a publication of the Australian Hospital Association
Zhou Huaqiong, Albrecht Matthew A, Roberts Pamela A, Porter Paul, Della Philip R
2021-Apr-12

Evaluating Simulations as Preparation for Health Crises like CoVID-19: Insights on Incorporating Simulation Exercises for Effective Response.
In International journal of disaster risk reduction : IJDRR
Reddin Karen, Bang Henry, Miles Lee
2021-Apr-05
Emergency Exercise, Epidemic, Lessons learnt, Pandemic, Simulation
Impact of coronary calcium score and lesion characteristics on the diagnostic performance of machine-learning-based computed tomography-derived fractional flow reserve.
In European heart journal cardiovascular Imaging
AIMS :
METHODS AND RESULTS :
CONCLUSION :
Koo Hyun Jung, Kang Joon-Won, Kang Soo-Jin, Kweon Jihoon, Lee June-Goo, Ahn Jung-Min, Park Duk-Woo, Lee Seung Whan, Lee Cheol Whan, Park Seong-Wook, Park Seung-Jung, Kim Young-Hak, Yang Dong Hyun
2021-Apr-11
CT fractional flow reserve, coronary artery disease, coronary calcium, machine-learning

Machine learning approach to gene essentiality prediction: a review.
In Briefings in bioinformatics
:
SHORT ABSTRACT :
Aromolaran Olufemi, Aromolaran Damilare, Isewon Itunuoluwa, Oyelade Jelili
2021-Apr-10
conditional essentiality, conditionally essential genes, essential genes, essential proteins, feature selection, supervised learning

Addressing cervical cancer screening disparities through advances in artificial intelligence and nanotechnologies for cellular profiling.
In Biophysics reviews
Yang Zhenzhong, Francisco Jack, Reese Alexandra S, Spriggs David R, Im Hyungsoon, Castro Cesar M
2021-Mar

Object discrimination performance and dynamics evaluated by inferotemporal cell population activity.
In IBRO neuroscience reports
Wang Ridey H, Dai Lulin, Okamura Jun-Ya, Fuchida Takayasu, Wang Gang
2021-Jun
Discrimination, Inferotemporal cortex, Learning, Monkey, Object recognition, View-invariance
Integrating Eye Tracking and Speech Recognition Accurately Annotates MR Brain Images for Deep Learning: Proof of Principle.
In Radiology. Artificial intelligence
Purpose :
Materials and Methods :
Results :
Conclusion :
Stember Joseph N, Celik Haydar, Gutman David, Swinburne Nathaniel, Young Robert, Eskreis-Winkler Sarah, Holodny Andrei, Jambawalikar Sachin, Wood Bradford J, Chang Peter D, Krupinski Elizabeth, Bagci Ulas
2021-Jan
Impact of screening on the prevalence and incidence of Mycoplasma genitalium and its macrolide resistance in men who have sex with men living in Australia: A mathematical model.
In EClinicalMedicine
Background :
Methods :
Findings :
Interpretation :
Ong Jason J, Ruan Luanqi, Lim Aaron G, Bradshaw Catriona S, Taylor-Robinson David, Unemo Magnus, Horner Patrick J, Vickerman Peter, Zhang Lei
2021-Mar
Nanoindentation for Monitoring the Time-Variant Mechanical Strength of Drug-Loaded Collagen Hydrogel Regulated by Hydroxyapatite Nanoparticles.
In ACS omega
Jung Hyo Gi, Lee Dongtak, Lee Sang Won, Kim Insu, Kim Yonghwan, Jang Jae Won, Lee Jeong Hoon, Lee Gyudo, Yoon Dae Sung
2021-Apr-06

How does "A Bit of Everything American" state feel about COVID-19? A quantitative Twitter analysis of the pandemic in Ohio.
In Journal of computational social science
Caliskan Cantay
2021-Apr-05
Awareness, COVID-19, Emotion classification, Twitter

A review of machine learning experiments in equity investment decision-making: why most published research findings do not live up to their promise in real life.
In International journal of data science and analytics
Buczynski Wojtek, Cuzzolin Fabio, Sahakian Barbara
2021-Apr-05
Artificial Intelligence, Backtest overfit, Investing, Investment decision-making, Investment management, Investments, Machine Learning

COVID-19 prediction using LSTM Algorithm: GCC Case Study.
In Informatics in medicine unlocked
Ghany Kareem Kamal A, Zawbaa Hossam M, Sabri Heba M
2021-Apr-06
Artificial Intelligence, COVID-19, Deep Learning, LSTM, Prediction

Special Issue on Digital Pathology, Tissue Image Analysis, Artificial Intelligence, and Machine Learning: Approximation of the Effect of Novel Technologies on Toxicologic Pathology.
In Toxicologic pathology
Aeffner Famke, Sing Tobias, Turner Oliver C
2021-Apr-12
artificial intelligence, digital pathology, machine learning, tissue image analysis

K-SEIR-Sim: A simple customized software for simulating the spread of infectious diseases.
In Computational and structural biotechnology journal
Wang Hongzhi, Miao Zhiying, Zhang Chaobao, Wei Xiaona, Li Xiangqi
2021-Apr-07
2019-nCoV, COVID-19, SEIR model, artificial intelligence, python, simulation analysis, software

Machine Learning Approaches in COVID-19 Diagnosis, Mortality, and Severity Risk Prediction: A Review.
In Informatics in medicine unlocked
Alballa Norah, Al-Turaiki Isra
2021-Apr-03
COVID-19, Machine learning, artificial intelligence, diagnosis, feature selection, prognosis

Recent advances in convex probe endobronchial ultrasound: a narrative review.
In Annals of translational medicine
Wu Jian, Wu Cen, Zhou Chuming, Zheng Wei, Li Peng
2021-Mar
Endobronchial ultrasound (EBUS), elastography, intranodal forceps biopsy (IFB), rapid on-site evaluation (ROSE), transbronchial needle aspiration (TBNA), transbronchial needle injection (TBNI)

An artificial intelligence platform for the diagnosis and surgical planning of strabismus using corneal light-reflection photos.
In Annals of translational medicine
Background :
Methods :
Results :
Conclusions :
Mao Keli, Yang Yahan, Guo Chong, Zhu Yi, Chen Chuan, Chen Jingchang, Liu Li, Chen Lifei, Mo Zijun, Lin Bingsen, Zhang Xinliang, Li Sijin, Lin Xiaoming, Lin Haotian
2021-Mar
Artificial intelligence (AI), corneal light-reflection photos, machine learning, strabismus

From Learning to Relearning: A Framework for Diminishing Bias in Social Robot Navigation.
In Frontiers in robotics and AI
Hurtado Juana Valeria, Londoño Laura, Valada Abhinav
2021
algorithmic fairness, ethics, fairness-aware learning, responsible innovation, robot learning, social robot navigation

Covid, AI, and Robotics-A Neurologist's Perspective.
In Frontiers in robotics and AI
Ahmed Syed Nizamuddin
2021
AI, COVID-19, artificial intelligence, neurologist, neurology, robotics, telemedicine

Registered Trials on Artificial Intelligence Conducted in Emergency Department and Intensive Care Unit: A Cross-Sectional Study on ClinicalTrials.gov.
In Frontiers in medicine
Liu Guina, Li Nian, Chen Lingmin, Yang Yi, Zhang Yonggang
2021
ClinicalTrials.gov, artificial intelligence, cross-sectional, emergency department, intensive care unit, trial

Principal Component Analysis of the Running Ground Reaction Forces With Different Speeds.
In Frontiers in bioengineering and biotechnology
Yu Lin, Mei Qichang, Xiang Liangliang, Liu Wei, Mohamad Nur Ikhwan, István Bíró, Fernandez Justin, Gu Yaodong
2021
gait biomechanics, gender difference, ground reaction force, machine learning, running velocity

Investigation of a Novel Deep Learning-Based Computed Tomography Perfusion Mapping Framework for Functional Lung Avoidance Radiotherapy.
In Frontiers in oncology
Ren Ge, Lam Sai-Kit, Zhang Jiang, Xiao Haonan, Cheung Andy Lai-Yin, Ho Wai-Yin, Qin Jing, Cai Jing
2021
CT based image analysis, deep learning, functional lung avoidance radiation therapy, lung function imaging, perfusion imaging, perfusion synthesis
Deep Learning for Automatic Segmentation of Oral and Oropharyngeal Cancer Using Narrow Band Imaging: Preliminary Experience in a Clinical Perspective.
In Frontiers in oncology
Introduction :
Materials and Methods :
Results :
Conclusions :
Paderno Alberto, Piazza Cesare, Del Bon Francesca, Lancini Davide, Tanagli Stefano, Deganello Alberto, Peretti Giorgio, De Momi Elena, Patrini Ilaria, Ruperti Michela, Mattos Leonardo S, Moccia Sara
2021
deep learning, machine learning, narrow band imaging, neural network, oral cancer, oropharyngeal cancer, segmentation
Radiomics Model Based on MR Images to Discriminate Pancreatic Ductal Adenocarcinoma and Mass-Forming Chronic Pancreatitis Lesions.
In Frontiers in oncology
Background :
Methods :
Results :
Conclusions :
Deng Yan, Ming Bing, Zhou Ting, Wu Jia-Long, Chen Yong, Liu Pei, Zhang Ju, Zhang Shi-Yong, Chen Tian-Wu, Zhang Xiao-Ming
2021
machine learning, magnetic resonance imaging, mass-forming chronic pancreatitis, pancreatic ductal adenocarcinoma, radiomics

Social Media Activism and Convergence in Tweet Topics After the Initial #MeToo Movement for Two Distinct Groups of Twitter Users.
In Journal of interpersonal violence
Baik Jason M, Nyein Thet H, Modrek Sepideh
2021-Apr-12
bigram analysis, sexual assault and harassment, social media movements, topic modeling

A statistical and deep learning-based daily infected count prediction system for the coronavirus pandemic.
In Evolutionary intelligence
** :
Supplementary Information :
Shah Vruddhi, Shelke Ankita, Parab Mamata, Shah Jainam, Mehendale Ninad
2021-Apr-03
Coronavirus, Covid-19 simulations, Daily count

Development of a Novel Prognostic Model for Predicting Lymph Node Metastasis in Early Colorectal Cancer: Analysis Based on the Surveillance, Epidemiology, and End Results Database.
In Frontiers in oncology
Background :
Methods :
Results :
Conclusion :
Ahn Ji Hyun, Kwak Min Seob, Lee Hun Hee, Cha Jae Myung, Shin Hyun Phil, Jeon Jung Won, Yoon Jin Young
2021
colorectal cancer, machine learning, metastasis, model, prediction
Machine Learning-Based Radiomics Nomogram for Detecting Extramural Venous Invasion in Rectal Cancer.
In Frontiers in oncology
Objective :
Methods :
Results :
Conclusion :
Liu Siye, Yu Xiaoping, Yang Songhua, Hu Pingsheng, Hu Yingbin, Chen Xiaoyan, Li Yilin, Zhang Zhe, Li Cheng, Lu Qiang
2021
computed tomography, extramural venous invasion, magnetic resonance imaging, prediction, radiomics, rectal cancer

Machine Learning-Based Ultrasomics Improves the Diagnostic Performance in Differentiating Focal Nodular Hyperplasia and Atypical Hepatocellular Carcinoma.
In Frontiers in oncology
Background :
Patients and Methods :
Results :
Conclusions :
Li Wei, Lv Xiao-Zhou, Zheng Xin, Ruan Si-Min, Hu Hang-Tong, Chen Li-Da, Huang Yang, Li Xin, Zhang Chu-Qing, Xie Xiao-Yan, Kuang Ming, Lu Ming-De, Zhuang Bo-Wen, Wang Wei
2021
focal nodular hyperplasia, hepatocellular carcinoma, machine learning, ultrasomics, ultrasonography

Evaluating Simulations as Preparation for Health Crises like CoVID-19: Insights on Incorporating Simulation Exercises for Effective Response.
In International journal of disaster risk reduction : IJDRR
Reddin Karen, Bang Henry, Miles Lee
2021-Apr-05
Emergency Exercise, Epidemic, Lessons learnt, Pandemic, Simulation

Thermal Infrared Face Recognition.
In Cureus
Weidlich Vincent A
2021-Mar-06
artificial intelligence, blood vessel pattern, deep learning, face recognition, facial vascular pattern, long wave infrared, machine learning, neural networks, thermal infrared imagery, vascular map

Optimizing quantum cloning circuit parameters based on adaptive guided differential evolution algorithm.
In Journal of advanced research
Introduction :
Objectives :
Methods :
Results :
Conclusion :
Houssein Essam H, Mahdy Mohamed A, Eldin Manal G, Shebl Doaa, Mohamed Waleed M, Abdel-Aty Mahmoud
2021-Mar
AGDE, Adaptive guided differential evolution, Cloned qubits, Cloning fidelity, Meta-heuristics, Quantum cloning
Can peritumoral regions increase the efficiency of machine-learning prediction of pathological invasiveness in lung adenocarcinoma manifesting as ground-glass nodules?
In Journal of thoracic disease ; h5-index 52.0
Background :
Methods :
Results :
Conclusions :
Wang Xiang, Chen Kaili, Wang Wei, Li Qingchu, Liu Kai, Li Qianyun, Cui Xing, Tu Wenting, Sun Hongbiao, Xu Shaochun, Zhang Rongguo, Xiao Yi, Fan Li, Liu Shiyuan
2021-Mar
Pulmonary adenocarcinoma, X-ray computed tomography (X-ray CT), deep learning, peritumoral region, tumor invasiveness

Fiji plugins for qualitative image annotations: routine analysis and application to image classification.
In F1000Research
Thomas Laurent S V, Schaefer Franz, Gehrig Jochen
2020
Fiji, ImageJ, KNIME, bioimage analysis, ground-truth labelling, image annotation, image classification, qualitative analysis

A review on compound-protein interaction prediction methods: Data, format, representation and model.
In Computational and structural biotechnology journal