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Category articles

An experimental study of animating-based facial image manipulation in online class environments.
In Scientific reports ; h5-index 158.0
Park Jeong-Ha, Lim Chae-Yun, Kwon Hyuk-Yoon
2023-Mar-22

Role of the Microbiome in Immunotherapy of Melanoma.
In Cancer journal (Sudbury, Mass.)
Jiminez Victoria, Yusuf Nabiha
Transformer Performance for Chemical Reactions: Analysis of Different Predictive and Evaluation Scenarios.
In Journal of chemical information and modeling
Jaume-Santero Fernando, Bornet Alban, Valery Alain, Naderi Nona, Vicente Alvarez David, Proios Dimitrios, Yazdani Anthony, Bournez Colin, Fessard Thomas, Teodoro Douglas
2023-Mar-23

Learning to predict RNA sequence expressions from whole slide images with applications for search and classification.
In Communications biology
Alsaafin Areej, Safarpoor Amir, Sikaroudi Milad, Hipp Jason D, Tizhoosh H R
2023-Mar-22

A systematic evaluation of deep learning methods for the prediction of drug synergy in cancer.
In PLoS computational biology
Baptista Delora, Ferreira Pedro G, Rocha Miguel
2023-Mar-23

The value of artificial intelligence in the diagnosis of lung cancer: A systematic review and meta-analysis.
In PloS one ; h5-index 176.0
Liu Mingsi, Wu Jinghui, Wang Nian, Zhang Xianqin, Bai Yujiao, Guo Jinlin, Zhang Lin, Liu Shulin, Tao Ke
2023

A network-based analysis detects cocaine-induced changes in social interactions in Drosophila melanogaster.
In PloS one ; h5-index 176.0
Petrović Milan, Meštrović Ana, Andretić Waldowski Rozi, Filošević Vujnović Ana
2023
Domain-guided data augmentation for deep learning on medical imaging.
In PloS one ; h5-index 176.0
Athalye Chinmayee, Arnaout Rima
2023

Programming 3D curved mesosurfaces using microlattice designs.
In Science (New York, N.Y.)
Cheng Xu, Fan Zhichao, Yao Shenglian, Jin Tianqi, Lv Zengyao, Lan Yu, Bo Renheng, Chen Yitong, Zhang Fan, Shen Zhangming, Wan Huanhuan, Huang Yonggang, Zhang Yihui
2023-Mar-24
Current and Advanced Applications of Gadoxetic Acid-enhanced MRI in Hepatobiliary Disorders.
In Radiographics : a review publication of the Radiological Society of North America, Inc
Baleato-González Sandra, Vilanova Joan C, Luna Antonio, Menéndez de Llano Rafael, Laguna-Reyes Juan Pablo, Machado-Pereira Diogo M, Bermúdez-Naveira Anaberta, Osorio-Vázquez Iria, Alcalá-Mata Lidia, García-Figueiras Roberto
2023-Apr

Computational Approaches for Peroxisomal Protein Localization.
In Methods in molecular biology (Clifton, N.J.)
Anteghini Marco, Martins Dos Santos Vitor A P
2023
Cellular compartments, Machine learning, Peroxisome targeting signal, Sub-organelle localization, Subcellular localization
The Application of Artificial Intelligence to Investigate Long-Term Outcomes and Assess Optimal Margin Width in Hepatectomy for Intrahepatic Cholangiocarcinoma.
In Annals of surgical oncology ; h5-index 71.0
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
Alaimo Laura, Moazzam Zorays, Endo Yutaka, Lima Henrique A, Butey Swatika P, Ruzzenente Andrea, Guglielmi Alfredo, Aldrighetti Luca, Weiss Matthew, Bauer Todd W, Alexandrescu Sorin, Poultsides George A, Maithel Shishir K, Marques Hugo P, Martel Guillaume, Pulitano Carlo, Shen Feng, Cauchy François, Koerkamp Bas Groot, Endo Itaru, Kitago Minoru, Kim Alex, Ejaz Aslam, Beane Joal, Cloyd Jordan, Pawlik Timothy M
2023-Mar-23

AI Moral Enhancement: Upgrading the Socio-Technical System of Moral Engagement.
In Science and engineering ethics
Volkman Richard, Gabriels Katleen
2023-Mar-23
AI socratic interlocutor, Artificial intelligence, Artificial moral agent, Moral enhancement

Predicting epileptic seizures based on EEG signals using spatial depth features of a 3D-2D hybrid CNN.
In Medical & biological engineering & computing ; h5-index 32.0
Qi Nan, Piao Yan, Yu Peng, Tan Baolin
2023-Mar-23
3D-2D hybrid CNN, EEG, Epilepsy, Seizure prediction

Effectiveness of high-flow nasal cannulae compared with noninvasive positive-pressure ventilation in preventing reintubation in patients receiving prolonged mechanical ventilation.
In Scientific reports ; h5-index 158.0
Tseng Chi-Wei, Chao Ke-Yun, Wu Hsiu-Li, Lin Chen-Chun, Hsu Han-Shui
2023-Mar-22

Machine Ethics: Do Androids Dream of Being Good People?
In Science and engineering ethics
Génova Gonzalo, Moreno Valentín, González M Rosario
2023-Mar-23
Artificial intelligence, Computability, Intentional action, Machine ethics, Moral codes of conduct, Rationality of ethics

A device-independent method for the colorimetric quantification on microfluidic sensors using a color adaptation algorithm.
In Mikrochimica acta
Feng Junjie, Jiang Huiyun, Jin Yan, Rong Shenghui, Wang Shiqiang, Wang Haozhi, Wang Lin, Xu Wei, Sun Bing
2023-Mar-23
Colorimetry, Image processing, Microfluidic sensors, Paper-based analytical devices, Smartphone
Understanding Public Attitudes and Willingness to Share Commercial Data for Health Research: Survey Study in the United Kingdom.
In JMIR public health and surveillance
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
Hirst Yasemin, Stoffel Sandro T, Brewer Hannah R, Timotijevic Lada, Raats Monique M, Flanagan James M
2023-Mar-23
acceptability, commercial data, data, data donation, data sharing, digital, health, loyalty cards, mobile phone, participant recruitment, public, sociodemographic factors

Smartphone-Tracked Digital Markers of Momentary Subjective Stress in College Students: Idiographic Machine Learning Analysis.
In JMIR mHealth and uHealth
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
Aalbers George, Hendrickson Andrew T, Vanden Abeele Mariek Mp, Keijsers Loes
2023-Mar-23
digital biomarker, digital phenotype, machine learning, mobile health, mobile phone, personalized models

Acoustic Analysis of Speech for Screening for Suicide Risk: Machine Learning Classifiers for Between- and Within-Person Evaluation of Suicidality.
In Journal of medical Internet research ; h5-index 88.0
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
Min Sooyeon, Shin Daun, Rhee Sang Jin, Park C Hyung Keun, Yang Jeong Hun, Song Yoojin, Kim Min Ji, Kim Kyungdo, Cho Won Ik, Kwon Oh Chul, Ahn Yong Min, Lee Hyunju
2023-Mar-23
artificial intelligence, digital health tool, mood disorder, prediction, screening, suicide, voice analysis

Modular Soft Robot with Origami Skin for Versatile Applications.
In Soft robotics
Jin Tao, Wang Tianhong, Xiong Quan, Tian Yingzhong, Li Long, Zhang Quan, Yeow Chen-Hua
2023-Mar-23
modular actuation, modular soft robot, origami, soft pneumatic actuators
Multidelay MR Arterial Spin Labeling Perfusion Map for the Prediction of Cerebral Hyperperfusion After Carotid Endarterectomy.
In Journal of magnetic resonance imaging : JMRI
BACKGROUND :
PURPOSE :
STUDY TYPE :
SUBJECTS :
FIELD STRENGTH/SEQUENCE :
ASSESSMENT :
STATISTICAL TESTS :
RESULTS :
DATA CONCLUSIONS :
EVIDENCE LEVEL :
Fan Xiaoyuan, Lai Zhichao, Lin Tianye, Li Kang, Hou Bo, You Hui, Wei Juan, Qu Jianxun, Liu Bao, Zuo Zhentao, Feng Feng
2023-Mar-23
arterial spin labeling, carotid endarterectomy, carotid stenosis, cerebral hyperperfusion syndrome

EBi-LSTM: an enhanced bi-directional LSTM for time-series data classification by heuristic development of optimal feature integration in brain computer interface.
In Computer methods in biomechanics and biomedical engineering
Saraswat Mala, Dubey Anil Kumar
2023-Mar-23
Time-series data classification, brain–computer interface, electroencephalography signal, enhanced bi-directional long short-term memory, ensemble feature extraction, probability ratio-based reptile search algorithm

Whole Slide Images in Artificial Intelligence Applications in Digital Pathology: Challenges and Pitfalls.
In Turk patoloji dergisi
Basak Kayhan, Ozyoruk Kutsev Bengisu, Demir Derya
2023-Mar-23

A call for implementing augmented intelligence in pediatric dermatology.
In Pediatric dermatology
Issa Christopher J, Reimer-Taschenbrecker Antonia, Paller Amy S
2023-Mar-23
artificial intelligence, convolutional neural networks, deep learning, health disparities, pediatric dermatology

A Long-term Consistent Artificial Intelligence and Remote Sensing-based Soil Moisture Dataset.
In Scientific data
Skulovich Olya, Gentine Pierre
2023-Mar-22

Breast Tumor Classification using Short-ResNet with Pixel-based Tumor Probability Map in Ultrasound Images.
In Ultrasonic imaging
Wang You-Wei, Kuo Tsung-Ter, Chou Yi-Hong, Su Yu, Huang Shing-Hwa, Chen Chii-Jen
2023-Mar-23
breast cancer, convolutional neural network, deep learning, tumor classification, ultrasound

Boundary-oriented Network for Automatic Breast Tumor Segmentation in Ultrasound Images.
In Ultrasonic imaging
Zhang Mengmeng, Huang Aibin, Yang Debiao, Xu Rui
2023-Mar-23
U-Net, breast tumors, deep learning, image segmentation, ultrasound images

ANPELA: Significantly Enhanced Quantification Tool for Cytometry-Based Single-Cell Proteomics.
In Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Zhang Ying, Sun Huaicheng, Lian Xichen, Tang Jing, Zhu Feng
2023-Mar-22
cell population identification, comprehensive assessment, parallel computing, protein quantification, single-cell proteomics, trajectory inference

Identification of copper metabolism-related subtypes and establishment of the prognostic model in ovarian cancer.
In Frontiers in endocrinology ; h5-index 55.0
BACKGROUND :
METHODS :
RESULTS :
CONCLUSION :
Zhao Songyun, Zhang Xin, Gao Feng, Chi Hao, Zhang Jinhao, Xia Zhijia, Cheng Chao, Liu Jinhui
2023
OC, Tumor microenvironment, copper metabolism, immunotherapy, machine learning, risk score signature

Modeling structure-activity relationships with machine learning to identify GSK3-targeted small molecules as potential COVID-19 therapeutics.
In Frontiers in endocrinology ; h5-index 55.0
Pirzada Rameez Hassan, Ahmad Bilal, Qayyum Naila, Choi Sangdun
2023
GSK3, QSAR, coronaviruses, machine learning, molecular descriptors

A pathomic approach for tumor-infiltrating lymphocytes classification on breast cancer digital pathology images.
In Heliyon
BACKGROUND AND OBJECTIVES :
METHODS :
RESULTS :
CONCLUSIONS :
Verdicchio Mario, Brancato Valentina, Cavaliere Carlo, Isgrò Francesco, Salvatore Marco, Aiello Marco
2023-Mar
Breast cancer, Digital pathology, Machine learning, Pathomics, Tumor infiltrating lymphocytes

Does managerial short-termism always matter in a firm's corporate social responsibility performance? Evidence from China.
In Heliyon
Xu Xiaohui, Yang Jun
2023-Mar
CSR performance, Managerial short-termism, Random forest regression

Techniques of power system static security assessment and improvement: A literature survey.
In Heliyon
Hailu Engidaw Abel, Nyakoe George Nyauma, Muriithi Christopher Maina
2023-Mar
FACTS device, Machine learning, Optimal allocation, Performance index, Power system uncertainties, Static security assessment, Static security improvement

Scientometric and multidimensional contents analysis of PM2.5 concentration prediction.
In Heliyon
Gong Jintao, Ding Lei, Lu Yingyu, Qiong Zhang Yun Li
2023-Mar
Contents analysis, Forecasting methods, Forecasting scale, PM2.5 concentration prediction, Scientometric

Optimal sizing of residential photovoltaic and battery system connected to the power grid based on the cost of energy and peak load.
In Heliyon
Vahabi Khah Mohammad, Zahedi Rahim, Eskandarpanah Reza, Mirzaei Amir Mohammad, Farahani Omid Noudeh, Malek Iman, Rezaei Nima
2023-Mar
PV battery System, Renewable energy, Sizing, Solar energy
Interoperable slide microscopy viewer and annotation tool for imaging data science and computational pathology.
In Nature communications ; h5-index 260.0
Gorman Chris, Punzo Davide, Octaviano Igor, Pieper Steven, Longabaugh William J R, Clunie David A, Kikinis Ron, Fedorov Andrey Y, Herrmann Markus D
2023-Mar-22
Immune gene patterns and characterization of the tumor immune microenvironment associated with cancer immunotherapy efficacy.
In Heliyon
Lin Lili, Zhang Wenda, Chen Yongjian, Ren Wei, Zhao Jianli, Ouyang Wenhao, He Zifan, Su Weifeng, Yao Herui, Yu Yunfang
2023-Mar
AUC, Area under the curve, CIs, Confidence intervals, CTL, Cytotoxic T-lymphocyte infiltration, Cancer, GEO, Gene Expression Omnibus, GO, Gene Ontology, GSEA, Gene set enrichment analysis, GSVA, Gene set variation analysis, HLAs, Human leukocyte antigens, HRs, Hazard ratios, Immunotherapy, KEGG, Kyoto Encyclopedia of Genes and Genomes, LASSO, Penalized logistic least absolute shrinkage and selector operation, Machine learning, NSCLC, Non-small cell lung cancer, OS, Overall survival, PCA, Principal componentanalysis, PD-L1, Programmed death ligand-1, PFS, Profession-free survival, RNA-seq, Transcriptome RNA sequencing, ROC, receiver operating characteristic curves, TCGA, The Cancer Genome Atlas, TMB, Tumor mutation burden, TME, Tumor immunemicroenvironment, Tumor immune microenvironment, WGCNA, Weighted gene co-expression network analysis, lncRNA, Long non-coding RNA

Assessing the influence of industry 4.0 technologies on occupational health and safety.
In Heliyon
Arana-Landín Germán, Laskurain-Iturbe Iker, Iturrate Mikel, Landeta-Manzano Beñat
2023-Mar
ISO 45001, Industry 4.0 technologies, Occupational health and safety, Occupational risks
Amplitude of low-frequency fluctuation-based regional radiomics similarity network: Biomarker for Parkinson's disease.
In Heliyon
Shi Dafa, Ren Zhendong, Zhang Haoran, Wang Guangsong, Guo Qiu, Wang Siyuan, Ding Jie, Yao Xiang, Li Yanfei, Ren Ke
2023-Mar
Amplitude of low-frequency fluctuation (ALFF), Biomarker, Machine learning, Network, Parkinson’s disease

Deep learning-assisted diagnosis of chronic atrophic gastritis in endoscopy.
In Frontiers in oncology
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
Shi Yanting, Wei Ning, Wang Kunhong, Wu Jingjing, Tao Tao, Li Na, Lv Bing
2023
chronic atrophic gastritis (CAG), deep learning - artificial intelligence, endoscopy, gastric cancer, transfer learning

A versatile and fast-sampling rate wearable analog data logger.
In MethodsX
Bouchekioua Youcef, Matsui Hiroshi, Watanabe Shigeru
2023
Accelerometer, Analog, Data logger, Microcontroller, Movement disorders, Sensor, Versatile and Fast-Sampling Rate Wearable Analog Data Logger

Search, identification, and curation of cell and gene therapy product regulations using augmented intelligent systems.
In Frontiers in medicine
BACKGROUND :
METHODS :
RESULTS :
CONCLUSION :
Schaut William, Shrivastav Akash, Ramakrishnan Srikanth, Bowden Robert
2023
CAR-T, augmented intelligence, automated systematic search, machine learning, regulations, regulatory documents

Optimizing MRI-based brain tumor classification and detection using AI: A comparative analysis of neural networks, transfer learning, data augmentation, and the cross-transformer network.
In European journal of radiology open
Anaya-Isaza Andrés, Mera-Jiménez Leonel, Verdugo-Alejo Lucía, Sarasti Luis
2023
Artificial intelligence, Cancer detection, Machine learning, Magnetic resonance imaging, Transformers, Tumors

ChatGPT - Reshaping medical education and clinical management.
In Pakistan journal of medical sciences
Khan Rehan Ahmed, Jawaid Masood, Khan Aymen Rehan, Sajjad Madiha
2023
Artificial Intelligence, ChatGPT, Education, NLP, Open AI, clinical management, medical education
Systematic assessment of prognostic molecular features across cancers.
In Cell genomics
Santhanam Balaji, Oikonomou Panos, Tavazoie Saeed
2023-Mar-08
cancer genomics, cancer regulatory networks, precision oncology, prognostic cancer biomarkers

A longan yield estimation approach based on UAV images and deep learning.
In Frontiers in plant science
Li Denghui, Sun Xiaoxuan, Jia Yuhang, Yao Zhongwei, Lin Peiyi, Chen Yingyi, Zhou Haobo, Zhou Zhengqi, Wu Kaixuan, Shi Linlin, Li Jun
2023
UAV image, convolutional neural network, image analysis, regression analysis, yield estimation

An intracochlear electrocochleography dataset - from raw data to objective analysis using deep learning.
In Scientific data
Schuerch Klaus, Wimmer Wilhelm, Dalbert Adrian, Rummel Christian, Caversaccio Marco, Mantokoudis Georgios, Gawliczek Tom, Weder Stefan
2023-Mar-22

Modeling structure-activity relationships with machine learning to identify GSK3-targeted small molecules as potential COVID-19 therapeutics.
In Frontiers in endocrinology ; h5-index 55.0
Pirzada Rameez Hassan, Ahmad Bilal, Qayyum Naila, Choi Sangdun
2023
GSK3, QSAR, coronaviruses, machine learning, molecular descriptors

IP4GS: Bringing genomic selection analysis to breeders.
In Frontiers in plant science
Li Tong, Jiang Shan, Fu Ran, Wang Xiangfeng, Cheng Qian, Jiang Shuqin
2023
R shiny, bioinformatics, genomic selection, genotype-to-phenotype prediction, web-based platform

Assessing farmland suitability for agricultural machinery in land consolidation schemes in hilly terrain in China: A machine learning approach.
In Frontiers in plant science
Yang Heng, Ma Wenqiu, Liu Tongxin, Li Wenqing
2023
farmland consolidation suitable for agricultural machinery, hilly terrain, machine learning approach (MLA), potential of farmland productivity, suitability assessment, zoning

Assessment of shape-based features ability to predict the ascending aortic aneurysm growth.
In Frontiers in physiology
Geronzi Leonardo, Haigron Pascal, Martinez Antonio, Yan Kexin, Rochette Michel, Bel-Brunon Aline, Porterie Jean, Lin Siyu, Marin-Castrillon Diana Marcela, Lalande Alain, Bouchot Olivier, Daniel Morgan, Escrig Pierre, Tomasi Jacques, Valentini Pier Paolo, Biancolini Marco Evangelos
2023
aorta, ascending aorta aneurysm, biomechanical features, cardiovascular diseases, classification, growth rate, machine learning, risk assessment

A lightweight fetal distress-assisted diagnosis model based on a cross-channel interactive attention mechanism.
In Frontiers in physiology
Deng Yanjun, Zhang Yefei, Zhou Zhixin, Zhang Xianfei, Jiao Pengfei, Zhao Zhidong
2023
attention mechanism, fetal distress, fetal heart rate, lightweight model, wavelet packet coefficient

Analysis of the therapeutic interaction provided by a humanoid robot serving stroke survivors as a therapeutic assistant for arm rehabilitation.
In Frontiers in robotics and AI
Platz Thomas, Pedersen Ann Louise, Deutsch Philipp, Umlauft Alexandru-Nicolae, Bader Sebastian
2023
arm, artificial intelligence, interaction, robot, social, stroke, training

Deep Survival Analysis With Clinical Variables for COVID-19.
In IEEE journal of translational engineering in health and medicine
OBJECTIVE :
METHODS AND PROCEDURES :
RESULTS :
CONCLUSION :
CLINICAL IMPACT :
Chaddad Ahmad, Hassan Lama, Katib Yousef, Bouridane Ahmed
2023
CNN, COVID-19, clinical variables

Deep learning-based fusion of widefield diffuse optical tomography and micro-CT structural priors for accurate 3D reconstructions.
In Biomedical optics express
Nizam Navid Ibtehaj, Ochoa Marien, Smith Jason T, Intes Xavier
2023-Mar-01

Automated analysis framework for in vivo cardiac ablation therapy monitoring with optical coherence tomography.
In Biomedical optics express
Huang Ziyi, Zhao Xiaowei, Ziv Ohad, Laurita Kenneth R, Rollins Andrew M, Hendon Christine P
2023-Mar-01

Sentinel lymph node mapping in patients with breast cancer using a photoacoustic/ultrasound dual-modality imaging system with carbon nanoparticles as the contrast agent: a pilot study.
In Biomedical optics express
Gu Liujie, Deng Handi, Bai Yizhou, Gao Jianpan, Wang Xuewei, Yue Tong, Luo Bin, Ma Cheng
2023-Mar-01

Computational tools for exploring peptide-membrane interactions in gram-positive bacteria.
In Computational and structural biotechnology journal
Kumar Shreya, Balaya Rex Devasahayam Arokia, Kanekar Saptami, Raju Rajesh, Prasad Thottethodi Subrahmanya Keshava, Kandasamy Richard K
2023
3-HBA, 3–Hydroxybenzoic Acid, AAC, Amino Acid Composition, ABC, ATP-binding cassette, ACD, Available Chemicals Database, AIP, Autoinducing Peptide, AMP, Anti-Microbial Peptide, ATP, Adenosine Triphosphate, Agr, Accessory gene regulator, BFE, Binding Free Energy, BIP Inhibitors, BIP, Biofilm Inhibitory Peptides, BLAST, Basic Local Alignment Search Tool, BNB, Bernoulli Naïve-Bayes, CADD, Computer-Aided Drug Design, CSP, Competence Stimulating Peptide, CTD, Composition-Transition-Distribution, D, Aspartate, DCH, 3,3′-(3,4-dichlorobenzylidene)-bis-(4-hydroxycoumarin), DT, Decision Tree, FDA, Food and Drug Administration, GBM, Gradient Boosting Machine, GDC, g-gap Dipeptide, GNB, Gaussian NB, Gram-positive bacteria, H, Histidine, H-Kinase, Histidine Kinase, H-phosphotransferase, Histidine Phosphotransferase, HAM, Hamamelitannin, HGM, Human Gut Microbiota, HNP, Human Neutrophil Peptide, IT, Information Theory Features, In silico approaches, KNN, K-Nearest Neighbors, MCC, Mathew Co-relation Coefficient, MD, Molecular Dynamics, MDR, Multiple Drug Resistance, ML, Machine Learning, MRSA, Methicillin Resistant S. aureus, MSL, Multiple Sequence Alignment, OMR, Omargliptin, OVP, Overlapping Property Features, PCP, Physicochemical Properties, PDB, Protein Data Bank, PPIs, Protein-Protein Interactions, PSM, Phenol-Soluble Modulin, PTM, Post Translational Modification, QS, Quorum Sensing, QSCN, QS communication network, QSHGM, Quorum Sensing of Human Gut Microbes, QSI, QS Inhibitors, QSIM, QS Interference Molecules, QSP inhibitors, QSP predictors, QSP, QS Peptides, QSPR, Quantitative Structure Property Relationship, Quorum sensing peptides, RAP, RNAIII-activating protein, RF, Random Forest, RIP, RNAIII-inhibiting peptide, ROC, Receiver Operating Characteristic, SAR, Structure-Activity Relationship, SFS, Sequential Forward Search, SIT, Sitagliptin, SVM, Support Vector Machine, TCS, Two-Component Sensory, TRAP, Target of RAP, TRG, Trelagliptin, WHO, World Health Organization, mRMR, minimum Redundancy and Maximum Relevance

BrainGENIE: The Brain Gene Expression and Network Imputation Engine.
In Translational psychiatry ; h5-index 60.0
Hess Jonathan L, Quinn Thomas P, Zhang Chunling, Hearn Gentry C, Chen Samuel, Kong Sek Won, Cairns Murray, Tsuang Ming T, Faraone Stephen V, Glatt Stephen J
2023-Mar-22

Deep Survival Analysis With Clinical Variables for COVID-19.
In IEEE journal of translational engineering in health and medicine
OBJECTIVE :
METHODS AND PROCEDURES :
RESULTS :
CONCLUSION :
CLINICAL IMPACT :
Chaddad Ahmad, Hassan Lama, Katib Yousef, Bouridane Ahmed
2023
CNN, COVID-19, clinical variables
Deep-learning-based ensemble method for fully automated detection of renal masses on magnetic resonance images.
In Journal of medical imaging (Bellingham, Wash.)
PURPOSE :
APPROACH :
RESULTS :
CONCLUSIONS :
Anush Agarwal, Rohini Gaikar, Nicola Schieda, WalaaEldin Elfaal Mohamed, Eranga Ukwatta
2023-Mar
U-Net, computer aided detection, deep learning, magnetic resonance imaging, renal masses

Intelligent antepartum fetal monitoring via deep learning and fusion of cardiotocographic signals and clinical data.
In Health information science and systems
PURPOSE :
METHODS :
RESULTS :
CONCLUSION :
Cao Zhen, Wang Guoqiang, Xu Ling, Li Chaowei, Hao Yuexing, Chen Qinqun, Li Xia, Liu Guiqing, Wei Hang
2023-Dec
Antepartum fetal monitoring, Cardiotocographic signal, Clinical data, Convolutional neural network, Multimodal feature fusion

USC-ENet: a high-efficiency model for the diagnosis of liver tumors combining B-mode ultrasound and clinical data.
In Health information science and systems
PURPOSE :
METHODS :
RESULTS AND CONCLUSION :
Zhao Tingting, Zeng Zhiyong, Li Tong, Tao Wenjing, Yu Xing, Feng Tao, Bu Rui
2023-Dec
B-mode ultrasound, EfficientNet, Feature fusion, Liver tumor
COVID-19Base v3: Update of the knowledgebase for drugs and biomedical entities linked to COVID-19.
In Frontiers in public health
Basit Syed Abdullah, Qureshi Rizwan, Musleh Saleh, Guler Reto, Rahman M Sohel, Biswas Kabir H, Alam Tanvir
2023
CORD-19, COVID-19, SARS-CoV-2, deep learning, machine learning

Structures, band gaps, and formation energies of highly stable phases of inorganic ABX3 halides: A = Li, Na, K, Rb, Cs, Tl; B = Be, Mg, Ca, Ge, Sr, Sn, Pb; and X = F, Cl, Br, I.
In RSC advances
Alqahtani Saad M, Alsayoud Abduljabar Q, Alharbi Fahhad H
2023-Mar-14

Speed-resolved perfusion imaging using multi-exposure laser speckle contrast imaging and machine learning.
In Journal of biomedical optics
SIGNIFICANCE :
AIM :
APPROACH :
RESULTS :
CONCLUSIONS :
Hultman Martin, Larsson Marcus, Strömberg Tomas, Fredriksson Ingemar
2023-Mar
artificial neural networks, blood flow, microcirculation, multi-exposure laser speckle contrast imaging

TP53-mediated clonal hematopoiesis confers increased risk for incident atherosclerotic disease.
In Nature cardiovascular research
Zekavat Seyedeh M, Viana-Huete Vanesa, Matesanz Nuria, Jorshery Saman Doroodgar, Zuriaga María A, Uddin Md Mesbah, Trinder Mark, Paruchuri Kaavya, Zorita Virginia, Ferrer-Pérez Alba, Amorós-Pérez Marta, Kunderfranco Paolo, Carriero Roberta, Greco Carolina M, Aroca-Crevillen Alejandra, Hidalgo Andrés, Damrauer Scott M, Ballantyne Christie M, Niroula Abhishek, Gibson Christopher J, Pirruccello James, Griffin Gabriel, Ebert Benjamin L, Libby Peter, Fuster Valentín, Zhao Hongyu, Ghassemi Marzyeh, Natarajan Pradeep, Bick Alexander G, Fuster José J, Klarin Derek
2023-Jan-16
atherosclerosis, clonal hematopoiesis, sequencing, somatic

Inferring influence of people's emotions at court on defendant's emotions using a prediction model.
In Frontiers in psychology ; h5-index 92.0
Song Yun, Zhao Tianyi
2023
AI in law, deep learning, emotion at court, emotion prediction, judgement

Prediction of the Prognosis of Clear Cell Renal Cell Carcinoma by Cuproptosis-Related lncRNA Signals Based on Machine Learning and Construction of ceRNA Network.
In Journal of oncology
BACKGROUND :
METHODS :
RESULTS :
CONCLUSION :
Xiao Zhiliang, Zhang Menglei, Shi Zhenduo, Zang Guanghui, Liang Qing, Hao Lin, Dong Yang, Pang Kun, Wang Yabin, Han Conghui
2023
Blood Inflammatory Biomarkers Differentiate Inpatient and Outpatient Coronavirus Disease 2019 From Influenza.
In Open forum infectious diseases
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
Luciani Lauren L, Miller Leigh M, Zhai Bo, Clarke Karen, Hughes Kramer Kailey, Schratz Lucas J, Balasubramani G K, Dauer Klancie, Nowalk M Patricia, Zimmerman Richard K, Shoemaker Jason E, Alcorn John F
2023-Mar
SARS-CoV-2, cytokine, human, machine learning, pneumonia

Brightfield vs Fluorescent Staining Dataset-A Test Bed Image Set for Machine Learning based Virtual Staining.
In Scientific data
Trizna Elena Y, Sinitca Aleksandr M, Lyanova Asya I, Baidamshina Diana R, Zelenikhin Pavel V, Kaplun Dmitrii I, Kayumov Airat R, Bogachev Mikhail I
2023-Mar-22
COVID-19Base v3: Update of the knowledgebase for drugs and biomedical entities linked to COVID-19.
In Frontiers in public health
Basit Syed Abdullah, Qureshi Rizwan, Musleh Saleh, Guler Reto, Rahman M Sohel, Biswas Kabir H, Alam Tanvir
2023
CORD-19, COVID-19, SARS-CoV-2, deep learning, machine learning

Smart Yoga Instructor for Guiding and Correcting Yoga Postures in Real Time.
In International journal of yoga
Kishore D Mohan, Bindu S, Manjunath Nandi Krishnamurthy
2022
Human posture recognition, Mediapipe, Yoga, pose detection and pose correction, real-time

scAnnotate: an automated cell-type annotation tool for single-cell RNA-sequencing data.
In Bioinformatics advances
MOTIVATION :
RESULTS :
AVAILABILITY AND IMPLEMENTATION :
SUPPLEMENTARY INFORMATION :
Ji Xiangling, Tsao Danielle, Bai Kailun, Tsao Min, Xing Li, Zhang Xuekui
2023

Multiplexed DNA-functionalized graphene sensor with artificial intelligence-based discrimination performance for analyzing chemical vapor compositions.
In Microsystems & nanoengineering
Hwang Yun Ji, Yu Heejin, Lee Gilho, Shackery Iman, Seong Jin, Jung Youngmo, Sung Seung-Hyun, Choi Jongeun, Jun Seong Chan
2023
Computational nanotechnology, Electronic properties and materials, Nanosensors

Astrocyte structural heterogeneity in the mouse hippocampus.
In Glia
Viana João Filipe, Machado João Luís, Abreu Daniela Sofia, Veiga Alexandra, Barsanti Sara, Tavares Gabriela, Martins Manuella, Sardinha Vanessa Morais, Guerra-Gomes Sónia, Domingos Cátia, Pauletti Alberto, Wahis Jérôme, Liu Chen, Calì Corrado, Henneberger Christian, Holt Matthew G, Oliveira João Filipe
2023-Mar-22
astrocyte, dorsal, hippocampus, morphology, skeleton, ventral

Artificial intelligence's interpretation of the neuroanatomical aspect of Peter Paul Rubens's copy of "The Battle of Anghiari" by Leonardo da Vinci.
In Perception
Keshelava Grigol
2023-Mar-22
Leonardo da Vinci, Renaissance, The Battle of Anghiari, artificial intelligence, brain anatomy

[Identifying Depressive Disorder With Sleep Electroencephalogram Data: A Study Based on Deep Learning].
In Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSION :
Tao Ran, Ding Sheng-Nan, Chen Jie, Zhu Xue-Min, Ni Zhao-Jun, Hu Ling-Ming, Zhang Yang, Xu Yan, Sun Hong-Qiang
2023-Mar
Deep learning, Depressive disorder, Non-rapid eye movement sleep, Rapid eye movement sleep, Sleep electroencephalogram

An agile, data-driven approach for target selection in rTMS therapy for anxiety symptoms: Proof of concept and preliminary data for two novel targets.
In Brain and behavior
INTRODUCTION :
METHODS :
RESULTS :
CONCLUSIONS :
Young Isabella M, Taylor Hugh M, Nicholas Peter J, Mackenzie Alana, Tanglay Onur, Dadario Nicholas B, Osipowicz Karol, Davis Ethan, Doyen Stephane, Teo Charles, Sughrue Michael E
2023-Mar-22
anxiety, brain stimulation, repetitive transcranial magnetic stimulation, treatment

Evidence for the role of transcription factors in the co-transcriptional regulation of intron retention.
In Genome biology ; h5-index 114.0
BACKGROUND :
RESULTS :
CONCLUSIONS :
AVAILABILITY :
Ullah Fahad, Jabeen Saira, Salton Maayan, Reddy Anireddy S N, Ben-Hur Asa
2023-Mar-22
Alternative splicing, Deep learning, Intron retention
CT-based deep learning model for the prediction of DNA mismatch repair deficient colorectal cancer: a diagnostic study.
In Journal of translational medicine
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
Cao Wuteng, Hu Huabin, Guo Jirui, Qin Qiyuan, Lian Yanbang, Li Jiao, Wu Qianyu, Chen Junhong, Wang Xinhua, Deng Yanhong
2023-Mar-22
Colorectal cancer, Computed Tomography, DNA mismatch repair, Deep learning, ResNet101

Multi-modal body part segmentation of infants using deep learning.
In Biomedical engineering online
BACKGROUND :
METHODS :
RESULTS :
CONCLUSION :
Voss Florian, Brechmann Noah, Lyra Simon, Rixen Jöran, Leonhardt Steffen, Hoog Antink Christoph
2023-Mar-22
Body part segmentation, Deep learning, Infrared thermography, NICU, Neonatal intensive care, Semantic segmentation
Predicting breast cancer types on and beyond molecular level in a multi-modal fashion.
In NPJ breast cancer
Zhang Tianyu, Tan Tao, Han Luyi, Appelman Linda, Veltman Jeroen, Wessels Ronni, Duvivier Katya M, Loo Claudette, Gao Yuan, Wang Xin, Horlings Hugo M, Beets-Tan Regina G H, Mann Ritse M
2023-Mar-22
Blood Inflammatory Biomarkers Differentiate Inpatient and Outpatient Coronavirus Disease 2019 From Influenza.
In Open forum infectious diseases
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
Luciani Lauren L, Miller Leigh M, Zhai Bo, Clarke Karen, Hughes Kramer Kailey, Schratz Lucas J, Balasubramani G K, Dauer Klancie, Nowalk M Patricia, Zimmerman Richard K, Shoemaker Jason E, Alcorn John F
2023-Mar
SARS-CoV-2, cytokine, human, machine learning, pneumonia
Predictive factors for degenerative lumbar spinal stenosis: a model obtained from a machine learning algorithm technique.
In BMC musculoskeletal disorders ; h5-index 46.0
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
Abbas Janan, Yousef Malik, Peled Natan, Hershkovitz Israel, Hamoud Kamal
2023-Mar-23
Computer Tomography, Degenerative lumbar spinal stenosis, Machine learning, Spine dimensions

A study on predicting the length of hospital stay for Chinese patients with ischemic stroke based on the XGBoost algorithm.
In BMC medical informatics and decision making ; h5-index 38.0
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
Chen Rui, Zhang Shengfa, Li Jie, Guo Dongwei, Zhang Weijun, Wang Xiaoying, Tian Donghua, Qu Zhiyong, Wang Xiaohua
2023-Mar-22
Ischemic stroke, Length of hospital stay (LOS), Machine learning (ML) model, XGBoost algorithm

Automated Adolescence Scoliosis Detection Using Augmented U-Net With Non-square Kernels.
In Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes
Wu Yujie, Namdar Khashayar, Chen Chaojun, Hosseinpour Shahob, Shroff Manohar, Doria Andrea S, Khalvati Farzad
2023-Mar-22
Cobb angle, convolutional neural network, scoliosis, vertebra landmark

MSLP: mRNA subcellular localization predictor based on machine learning techniques.
In BMC bioinformatics
BACKGROUND :
METHODS :
RESULTS :
AVAILABILITY :
Musleh Saleh, Islam Mohammad Tariqul, Qureshi Rizwan, Alajez Nihad, Alam Tanvir
2023-Mar-22
Localization prediction, Machine learning, RNA, Sequence analysis, Subcellular localization, mRNA

Anaemia in the first week may be associated with long-term mortality among critically ill patients: propensity score-based analyses.
In BMC emergency medicine
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
Lin I-Hung, Liao Pei-Ya, Wong Li-Ting, Chan Ming-Cheng, Wu Chieh-Liang, Chao Wen-Cheng
2023-Mar-22
Anaemia, Critical illness, Long-term outcome, Propensity score

Tile-based microscopic image processing for malaria screening using a deep learning approach.
In BMC medical imaging
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
Shewajo Fetulhak Abdurahman, Fante Kinde Anlay
2023-Mar-22
Deep learning, Malaria, Object detection, Plasmodium falciparum, Thick smear microscopic image, Tile-based image processing, YOLOV4

Prediction of vancomycin initial dosage using artificial intelligence models applying ensemble strategy.
In BMC bioinformatics
BACKGROUND :
RESULTS :
CONCLUSIONS :
Ho Wen-Hsien, Huang Tian-Hsiang, Chen Yenming J, Zeng Lang-Yin, Liao Fen-Fen, Liou Yeong-Cheng
2023-Mar-22
Ensemble strategy, Monitoring of blood concentration of drugs, Therapeutic drug monitoring (TDM), Vancomycin

Dense reinforcement learning for safety validation of autonomous vehicles.
In Nature ; h5-index 368.0
Feng Shuo, Sun Haowei, Yan Xintao, Zhu Haojie, Zou Zhengxia, Shen Shengyin, Liu Henry X
2023-Mar

Forecasting PM2.5 concentrations using statistical modeling for Bengaluru and Delhi regions.
In Environmental monitoring and assessment
Agarwal Akash, Sahu Manoranjan
2023-Mar-23
ARIMA, Air quality forecasting, Data analytics, Machine learning

Ranking parameters driving siring success during sperm competition in the North African houbara bustard.
In Communications biology
Sorci Gabriele, Hussein Hiba Abi, Levêque Gwènaëlle, Saint Jalme Michel, Lacroix Frédéric, Hingrat Yves, Lesobre Loïc
2023-Mar-22

Establishing a prediction model of severe acute mountain sickness using machine learning of support vector machine recursive feature elimination.
In Scientific reports ; h5-index 158.0
Yang Min, Wu Yang, Yang Xing-Biao, Liu Tao, Zhang Ya, Zhuo Yue, Luo Yong, Zhang Nan
2023-Mar-21

SC-MIL: Supervised Contrastive Multiple Instance Learning for Imbalanced Classification in Pathology
ArXiv Preprint
Dinkar Juyal, Siddhant Shingi, Syed Ashar Javed, Harshith Padigela, Chintan Shah, Anand Sampat, Archit Khosla, John Abel, Amaro Taylor-Weiner
2023-03-23

Deep learning for pancreatic diseases based on endoscopic ultrasound: A systematic review.
In International journal of medical informatics ; h5-index 49.0
BACKGROUND AND AIMS :
METHODS :
RESULTS :
CONCLUSIONS :
Yin Minyue, Liu Lu, Gao Jingwen, Lin Jiaxi, Qu Shuting, Xu Wei, Liu Xiaolin, Xu Chunfang, Zhu Jinzhou
2023-Mar-18
Convolutional neural networks, Deep learning, Endoscopic ultrasonography, Pancreatic diseases, Systematic review

HGM-cNet: Integrating hippocampal gray matter probability map into a cascaded deep learning framework improves hippocampus segmentation.
In European journal of radiology ; h5-index 47.0
Zheng Qiang, Liu Bin, Gao Yan, Bai Lijun, Cheng Yu, Li Honglun
2023-Mar-15
Deep learning, Gray matter volume, Hippocampus, Image segmentation, Multi-atlas segmentation
Application of a developed triple-classification machine learning model for carcinogenic prediction of hazardous organic chemicals to the US, EU, and WHO based on Chinese database.
In Ecotoxicology and environmental safety ; h5-index 67.0
Hao Ning, Sun Peixuan, Zhao Wenjin, Li Xixi
2023-Mar-20
Carcinogenic chemicals, Carcinogenicity classification prediction model, Machine learning, Model evaluation metrics, Molecular structure, Toxicokinetics

Development of prediction models for one-year brain tumour survival using machine learning: a comparison of accuracy and interpretability.
In Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE :
METHODS :
RESULTS :
CONCLUSION :
Charlton Colleen E, Poon Michael T C, Brennan Paul M, Fleuriot Jacques D
2023-Mar-13
Bayesian rule lists, Brain cancer, Explainable boosting machine, Interpretable models, Machine learning, Survival

Forecasting and Optimizing Dual Media Filter Performance via Machine Learning.
In Water research
Moradi Sina, Omar Amr, Zhou Zhuoyu, Agostino Anthony, Gandomkar Ziba, Bustamante Heriberto, Power Kaye, Henderson Rita, Leslie Greg
2023-Mar-12
Filtration performance, Hyper-parameter optimisation, Machine learning approach, Unit filter run volume

Prediction of brain tumor recurrence location based on multi-modal fusion and nonlinear correlation learning.
In Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Zhou Tongxue, Noeuveglise Alexandra, Modzelewski Romain, Ghazouani Fethi, Thureau Sébastien, Fontanilles Maxime, Ruan Su
2023-Mar-16
Brain tumor recurrence, Correlation learning, Deep learning, Location prediction, Multi-modal fusion
BTMF-GAN: A multi-modal MRI fusion generative adversarial network for brain tumors.
In Computers in biology and medicine
Liu Xiao, Chen Hongyi, Yao Chong, Xiang Rui, Zhou Kun, Du Peng, Liu Weifan, Liu Jie, Yu Zekuan
2023-Mar-09
Adaptive transformer, Image fusion, Multi-modal MRI, Salient loss
Intelligent decision support in medical triage: are people robust to biased advice?
In Journal of public health (Oxford, England)
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
van der Stigchel Birgit, van den Bosch Karel, van Diggelen Jurriaan, Haselager Pim
2023-Mar-20
emergency care, ethics, health intelligence

The Role of Scribes in Orthopaedics.
In JBJS reviews
» :
» :
» :
» :
Lam Michelle, Sabharwal Sanjeev
2023-Mar-01

Mechanism of assembly of type 4 filaments: everything you always wanted to know (but were afraid to ask).
In Microbiology (Reading, England)
Pelicic Vladimir
2023-Mar
nanomachines, pili, pilin, type 2 secretion systems, type 4 filaments, type 4 pili

Predicting outcomes of continuous renal replacement therapy using body composition monitoring: a deep-learning approach.
In Scientific reports ; h5-index 158.0
Yoo Kyung Don, Noh Junhyug, Bae Wonho, An Jung Nam, Oh Hyung Jung, Rhee Harin, Seong Eun Young, Baek Seon Ha, Ahn Shin Young, Cho Jang-Hee, Kim Dong Ki, Ryu Dong-Ryeol, Kim Sejoong, Lim Chun Soo, Lee Jung Pyo
2023-Mar-21

Clinically Relevant Latent Space Embedding of Cancer Histopathology Slides through Variational Autoencoder Based Image Compression
ArXiv Preprint
Mohammad Sadegh Nasr, Amir Hajighasemi, Paul Koomey, Parisa Boodaghi Malidarreh, Michael Robben, Jillur Rahman Saurav, Helen H. Shang, Manfred Huber, Jacob M. Luber
2023-03-23

SARS-CoV-2 related adaptation mechanisms of rehabilitation clinics affecting patient-centred care: Qualitative study of online patient reports.
In JMIR rehabilitation and assistive technologies
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
CLINICALTRIAL :
Kühn Lukas, Lindert Lara, Kuper Paulina, Choi Kyung-Eun Anna
2023-Mar-05
Predictors of Cyberchondria during the COVID-19 pandemic: A cross-sectional study using supervised machine learning.
In JMIR formative research
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
Infanti Alexandre, Starcevic Vladan, Schimmenti Adriano, Khazaal Yasser, Karila Laurent, Giardina Alessandro, Flayelle Maèva, Hedayatzadeh Razavi Seyedeh Boshra, Baggio Stéphanie, Vögele Claus, Billieux Joël
2023-Mar-09

The hair cell analysis toolbox is a precise and fully automated pipeline for whole cochlea hair cell quantification.
In PLoS biology
Buswinka Christopher J, Osgood Richard T, Simikyan Rubina G, Rosenberg David B, Indzhykulian Artur A
2023-Mar-22

Characterization of RNA polymerase II trigger loop mutations using molecular dynamics simulations and machine learning.
In PLoS computational biology
Dutagaci Bercem, Duan Bingbing, Qiu Chenxi, Kaplan Craig D, Feig Michael
2023-Mar-22

Classification of truck-involved crash severity: Dealing with missing, imbalanced, and high dimensional safety data.
In PloS one ; h5-index 176.0
Mohammadpour Seyed Iman, Khedmati Majid, Zada Mohammad Javad Hassan
2023

Triadic influence as a proxy for compatibility in social relationships.
In Proceedings of the National Academy of Sciences of the United States of America
Ruiz-García Miguel, Ozaita Juan, Pereda María, Alfonso Antonio, Brañas-Garza Pablo, Cuesta José A, Sánchez Angel
2023-Mar-28
machine learning, relationship prediction, social networks, triadic influence

Extreme Gradient Boosting to Predict Atomic Layer Deposition for Platinum Nano-Film Coating.
In Langmuir : the ACS journal of surfaces and colloids
Yoon Sung-Ho, Jeon Jun-Hyeok, Cho Seung-Beom, Nacpil Edric John Cruz, Jeon Il, Choi Jae-Boong, Kim Hyeongkeun
2023-Mar-22
Virtual clinical trial based on outcome modeling with iteratively redistributed extrapolation data.
In Radiological physics and technology
Oguma Kohei, Magome Taiki, Someya Masanori, Hasegawa Tomokazu, Sakata Koh-Ichi
2023-Mar-22
Extrapolation data, Outcome modeling, Outcome prediction, Radiotherapy, Virtual clinical trial
QuantImage v2: a comprehensive and integrated physician-centered cloud platform for radiomics and machine learning research.
In European radiology experimental
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
Abler Daniel, Schaer Roger, Oreiller Valentin, Verma Himanshu, Reichenbach Julien, Aidonopoulos Orfeas, Evéquoz Florian, Jreige Mario, Prior John O, Depeursinge Adrien
2023-Mar-22
Artificial intelligence, Biomarkers, Cloud computing, Decision support techniques, Radiomics
Applications of deep learning to reduce the need for iodinated contrast media for CT imaging: a systematic review.
In International journal of computer assisted radiology and surgery
PURPOSE :
METHODS :
RESULTS :
CONCLUSION :
Azarfar Ghazal, Ko Seok-Bum, Adams Scott J, Babyn Paul S
2023-Mar-22
Computed tomography, Contrast enhancement, Deep learning, Iodinated contrast media reduction

Machine learning based combination of multi-omics data for subgroup identification in non-small cell lung cancer.
In Scientific reports ; h5-index 158.0
Khadirnaikar Seema, Shukla Sudhanshu, Prasanna S R M
2023-Mar-21

SARS-CoV-2 related adaptation mechanisms of rehabilitation clinics affecting patient-centred care: Qualitative study of online patient reports.
In JMIR rehabilitation and assistive technologies
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
CLINICALTRIAL :
Kühn Lukas, Lindert Lara, Kuper Paulina, Choi Kyung-Eun Anna
2023-Mar-05

OCELOT: Overlapped Cell on Tissue Dataset for Histopathology
ArXiv Preprint
Jeongun Ryu, Aaron Valero Puche, JaeWoong Shin, Seonwook Park, Biagio Brattoli, Jinhee Lee, Wonkyung Jung, Soo Ick Cho, Kyunghyun Paeng, Chan-Young Ock, Donggeun Yoo, Sérgio Pereira
2023-03-23

CT-free quantitative SPECT for automatic evaluation of %thyroid uptake based on deep-learning.
In EJNMMI physics
PURPOSE :
METHODS :
RESULTS :
CONCLUSION :
Kwon Kyounghyoun, Hwang Donghwi, Oh Dongkyu, Kim Ji Hye, Yoo Jihyung, Lee Jae Sung, Lee Won Woo
2023-Mar-22
Quantification; Single-photon emission computed tomography; Deep-learning; Attenuation correction; Segmentation

Deep learning-based recognition of key anatomical structures during robot-assisted minimally invasive esophagectomy.
In Surgical endoscopy ; h5-index 65.0
OBJECTIVE :
BACKGROUND :
METHODS :
RESULTS :
CONCLUSION :
den Boer R B, Jaspers T J M, de Jongh C, Pluim J P W, van der Sommen F, Boers T, van Hillegersberg R, Van Eijnatten M A J M, Ruurda J P
2023-Mar-22
Anatomy recognition, Computer vision, Deep learning, Robotics, Surgery
Transplant renal artery stenosis: utilization of machine learning to identify ancillary sonographic and doppler parameters to predict stenosis in patients with graft dysfunction.
In Abdominal radiology (New York)
PURPOSE :
MATERIALS AND METHODS :
RESULTS :
CONCLUSION :
Blain Yamile, Alessandrino Francesco, Scortegagna Eduardo, Balcacer Patricia
2023-Mar-22
Doppler ultrasound, Machine learning, Renal transplant, Transplant renal artery stenosis

Localizing post-admixture adaptive variants with object detection on ancestry-painted chromosomes.
In Molecular biology and evolution
Hamid Iman, Korunes Katharine L, Schrider Daniel R, Goldberg Amy
2023-Mar-22

Understanding Prospective Physicians' Intention to Use Artificial Intelligence in Their Future Medical Practice: Configurational Analysis.
In JMIR medical education
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
Wagner Gerit, Raymond Louis, Paré Guy
2023-Mar-22
artificial intelligence, attitudes and beliefs, behavioral intentions, fsQCA, fuzzy-set qualitative comparative analysis, knowledge and experience, medical education
Investigation of the Trajectory of Muscle and Body Mass as a Prognostic Factor in Patients With Colorectal Cancer: Longitudinal Cohort Study.
In JMIR public health and surveillance
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
Seo Dongjin, Kim Han Sang, Ahn Joong Bae, Park Yu Rang
2023-Mar-22
BMI, SMVI, body mass index, colorectal cancer, deep neural network model, skeletal muscle, skeletal muscle volume index

A Deep Learning-Based Fully Automated Program for Choroidal Structure Analysis Within the Region of Interest in Myopic Children.
In Translational vision science & technology
PURPOSE :
METHODS :
RESULTS :
CONCLUSIONS :
TRANSLATIONAL RELEVANCE :
Xuan Meng, Wang Wei, Shi Danli, Tong James, Zhu Zhuoting, Jiang Yu, Ge Zongyuan, Zhang Jian, Bulloch Gabriella, Peng Guankai, Meng Wei, Li Cong, Xiong Ruilin, Yuan Yixiong, He Mingguang
2023-Mar-01

PhacoTrainer: Deep Learning for Cataract Surgical Videos to Track Surgical Tools.
In Translational vision science & technology
PURPOSE :
METHODS :
RESULTS :
CONCLUSIONS :
TRANSLATIONAL RELEVANCE :
Yeh Hsu-Hang, Jain Anjal M, Fox Olivia, Sebov Kostya, Wang Sophia Y
2023-Mar-01

Comparison of Online-Onboard Adaptive Intensity-Modulated Radiation Therapy or Volumetric-Modulated Arc Radiotherapy With Image-Guided Radiotherapy for Patients With Gynecologic Tumors in Dependence on Fractionation and the Planning Target Volume Margin.
In JAMA network open
IMPORTANCE :
OBJECTIVE :
DESIGN, SETTING, AND PARTICIPANTS :
EXPOSURE :
MAIN OUTCOMES AND MEASURES :
RESULTS :
CONCLUSIONS AND RELEVANCE :
Guberina Maja, Santiago Garcia Alina, Khouya Aymane, Pöttgen Christoph, Holubyev Kostyantyn, Ringbaek Toke Printz, Lachmuth Manfred, Alberti Yasemin, Hoffmann Christian, Hlouschek Julian, Gauler Thomas, Lübcke Wolfgang, Indenkämpen Frank, Stuschke Martin, Guberina Nika
2023-Mar-01
An Unsupervised Machine Learning Approach to Evaluating the Association of Symptom Clusters With Adverse Outcomes Among Older Adults With Advanced Cancer: A Secondary Analysis of a Randomized Clinical Trial.
In JAMA network open
IMPORTANCE :
OBJECTIVE :
DESIGN, SETTING, AND PARTICIPANTS :
EXPOSURES :
MAIN OUTCOMES AND MEASURES :
RESULTS :
CONCLUSIONS AND RELEVANCE :
TRIAL REGISTRATION :
Xu Huiwen, Mohamed Mostafa, Flannery Marie, Peppone Luke, Ramsdale Erika, Loh Kah Poh, Wells Megan, Jamieson Leah, Vogel Victor G, Hall Bianca Alexandra, Mustian Karen, Mohile Supriya, Culakova Eva
2023-Mar-01

A benchmark for machine-learning based non-invasive blood pressure estimation using photoplethysmogram.
In Scientific data
González Sergio, Hsieh Wan-Ting, Chen Trista Pei-Chun
2023-Mar-21
Predictors of Cyberchondria during the COVID-19 pandemic: A cross-sectional study using supervised machine learning.
In JMIR formative research
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
Infanti Alexandre, Starcevic Vladan, Schimmenti Adriano, Khazaal Yasser, Karila Laurent, Giardina Alessandro, Flayelle Maèva, Hedayatzadeh Razavi Seyedeh Boshra, Baggio Stéphanie, Vögele Claus, Billieux Joël
2023-Mar-09

LABRAD-OR: Lightweight Memory Scene Graphs for Accurate Bimodal Reasoning in Dynamic Operating Rooms
ArXiv Preprint
Ege Özsoy, Tobias Czempiel, Felix Holm, Chantal Pellegrini, Nassir Navab
2023-03-23

Deep learning-enabled broadband full-Stokes polarimeter with a portable fiber optical spectrometer.
In Optics letters
Xian Shilin, Yang Xiu, Zhou Jie, Gao Fuhua, Hou Yidong
2023-Mar-15

Conditional Forest Models Built Using Metagenomic Data Accurately Predicted Salmonella Contamination in Northeastern Streams.
In Microbiology spectrum
Chung Taejung, Yan Runan, Weller Daniel L, Kovac Jasna
2023-Mar-22
Salmonella, indicators, machine learning, microbiome, surface water, water safety

Interpretable machine learning-based approaches for understanding suicide risk and protective factors among South Korean females using survey and social media data.
In Suicide & life-threatening behavior
OBJECTIVE :
MATERIALS AND METHODS :
RESULTS :
CONCLUSIONS :
Kim Donghun, Quan Lihong, Seo Mihye, Kim Kihyun, Kim Jae-Won, Zhu Yongjun
2023-Mar-22
female suicide, model interpretation, protective factors, risk factors, suicide risk prediction

Language Analytics for Assessment of Mental Health Status and Functional Competency.
In Schizophrenia bulletin ; h5-index 79.0
BACKGROUND AND HYPOTHESIS :
STUDY DESIGN :
STUDY RESULTS :
CONCLUSIONS :
Voleti Rohit, Woolridge Stephanie M, Liss Julie M, Milanovic Melissa, Stegmann Gabriela, Hahn Shira, Harvey Philip D, Patterson Thomas L, Bowie Christopher R, Berisha Visar
2023-Mar-22
bipolar disorder, machine learning, natural language processing, schizophrenia, social skills prediction, speech analysis

Coreference Delays in Psychotic Discourse: Widening the Temporal Window.
In Schizophrenia bulletin ; h5-index 79.0
BACKGROUND AND HYPOTHESIS :
STUDY DESIGN :
STUDY RESULTS :
CONCLUSIONS :
Palominos Claudio, Figueroa-Barra Alicia, Hinzen Wolfram
2023-Mar-22
narrative, reference, speech graphs, topological distances

Natural Language Processing Markers for Psychosis and Other Psychiatric Disorders: Emerging Themes and Research Agenda From a Cross-Linguistic Workshop.
In Schizophrenia bulletin ; h5-index 79.0
Corona Hernández Hugo, Corcoran Cheryl, Achim Amélie M, de Boer Janna N, Boerma Tessel, Brederoo Sanne G, Cecchi Guillermo A, Ciampelli Silvia, Elvevåg Brita, Fusaroli Riccardo, Giordano Silvia, Hauglid Mathias, van Hessen Arjan, Hinzen Wolfram, Homan Philipp, de Kloet Sybren F, Koops Sanne, Kuperberg Gina R, Maheshwari Kritika, Mota Natalia B, Parola Alberto, Rocca Roberta, Sommer Iris E C, Truong Khiet, Voppel Alban E, van Vugt Marieke, Wijnen Frank, Palaniyappan Lena
2023-Mar-22
digital markers, implementation, pathophysiology, psychiatric practice, speech technology

Language and Psychosis: Tightening the Association.
In Schizophrenia bulletin ; h5-index 79.0
Tan Eric J, Sommer Iris E C, Palaniyappan Lena
2023-Mar-22
artificial intelligence, clinical trials, discourse, linguistics, phenomenology, psycholinguistics, psychopathology

Drug Repurposing for viral cancers: A paradigm of machine learning, deep learning, and Virtual screening-based approaches.
In Journal of medical virology
Ahmed Faheem, Kang In Suk, Kim Kyung Hwan, Asif Arun, Rahim Chethikkattuveli Salih Abdul, Samantasinghar Anupama, Memon Fida Hussain, Choi Kyung Hyun
2023-Mar-22
Anti-hepatitis B virus antivirals, Antiviral agents, Antiviral agentsAntivir, al agentsAntiviral agentsAntiv, iral agentsAntiviral agentsAntiviral agentsArtificial intelligenceBiostatistics & BioinformaticsRational drug design

Screening over Speech in Unselected Populations for Clinical Trials in AD (PROSPECT-AD): Study Design and Protocol.
In The journal of prevention of Alzheimer's disease
BACKGROUND :
OBJECTIVES :
DESIGN :
PARTICIPANTS :
MEASUREMENTS :
CONCLUSION :
König A, Linz N, Baykara E, Tröger J, Ritchie C, Saunders S, Teipel S, Köhler S, Sánchez-Benavides G, Grau-Rivera O, Gispert J D, Palmqvist S, Tideman P, Hansson O
2023
Alzheimer’s disease, Dementia, cognitive assessment, machine learning, phone-based, screening, speech biomarker

Predicting Progression from Normal to MCI and from MCI to AD Using Clinical Variables in the National Alzheimer's Coordinating Center Uniform Data Set Version 3: Application of Machine Learning Models and a Probability Calculator.
In The journal of prevention of Alzheimer's disease
Pang Y, Kukull W, Sano M, Albin R L, Shen C, Zhou J, Dodge H H
2023
AD, Alzheimer’s disease, MCI, MCI conversion, National Alzheimer’s Coordinating Center (NACC), PET amyloid, dementia, machine learning

A self-adaptive hardware with resistive switching synapses for experience-based neurocomputing.
In Nature communications ; h5-index 260.0
Bianchi S, Muñoz-Martin I, Covi E, Bricalli A, Piccolboni G, Regev A, Molas G, Nodin J F, Andrieu F, Ielmini D
2023-Mar-21

Understanding Prospective Physicians' Intention to Use Artificial Intelligence in Their Future Medical Practice: Configurational Analysis.
In JMIR medical education
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
Wagner Gerit, Raymond Louis, Paré Guy
2023-Mar-22
artificial intelligence, attitudes and beliefs, behavioral intentions, fsQCA, fuzzy-set qualitative comparative analysis, knowledge and experience, medical education

Human Behavior in the Time of COVID-19: Learning from Big Data
ArXiv Preprint
Hanjia Lyu, Arsal Imtiaz, Yufei Zhao, Jiebo Luo
2023-03-23

Utility of Environmental Complexity as a Predictor of Alzheimer's Disease Diagnosis: A Big-Data Machine Learning Approach.
In The journal of prevention of Alzheimer's disease
BACKGROUND :
METHODS :
RESULTS :
CONCLUSION :
Yuan M, Kennedy K M
2023
Alzheimer’s disease, cognitive map, environmental complexity, geospatial mapping, neural network modelling

Poincaré maps for visualization of large protein families.
In Briefings in bioinformatics
Susmelj Anna Klimovskaia, Ren Yani, Vander Meersche Yann, Gelly Jean-Christophe, Galochkina Tatiana
2023-Mar-22
data visualization, dimensionality reduction, machine learning, multiple sequence alignment, protein evolution, protein function, protein sequence, sequence similarity

Self-healing bottlebrush polymer networks enabled via a side-chain interlocking design.
In Materials horizons
Xiong Hui, Yue Tongkui, Wu Qi, Zhang Linjun, Xie Zhengtian, Liu Jun, Zhang Liqun, Wu Jinrong
2023-Mar-22

A high-performance deep-learning-based pipeline for whole-brain vasculature segmentation at the capillary resolution.
In Bioinformatics (Oxford, England)
MOTIVATION :
RESULTS :
AVAILABILITY :
SUPPLEMENTARY INFORMATION :
Li Yuxin, Liu Xuhua, Jia Xueyan, Jiang Tao, Wu Jianghao, Zhang Qianlong, Li Junhuai, Li Xiangning, Li Anan
2023-Mar-22

Profiling mechanisms that drive acute oral toxicity in mammals and its prediction via machine learning.
In Toxicological sciences : an official journal of the Society of Toxicology
Wijeyesakere Sanjeeva J, Auernhammer Tyler, Parks Amanda, Wilson Dan
2023-Mar-22
QSAR, acute toxicity, mechanistic toxicology

Blood quality evaluation via on-chip classification of cell morphology using a deep learning algorithm.
In Lab on a chip
Yang Yuping, He Hong, Wang Junju, Chen Li, Xu Yi, Ge Chuang, Li Shunbo
2023-Mar-22

Artificial Intelligence Teaching as part of Medical Education: A Qualitative Analysis of Expert Interviews.
In JMIR medical education
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
Weidener Lukas, Fischer Michael
2023-Mar-21

Memristor-based neural networks: a bridge from device to artificial intelligence.
In Nanoscale horizons
Cao Zelin, Sun Bai, Zhou Guangdong, Mao Shuangsuo, Zhu Shouhui, Zhang Jie, Ke Chuan, Zhao Yong, Shao Jinyou
2023-Mar-22
Can automated CT body composition analysis predict high-grade Clavien-Dindo complications in patients with RCC undergoing partial and radical nephrectomy?
In Scottish medical journal
INTRODUCTION :
METHODS :
RESULTS :
CONCLUSION :
Demirel Emin, Dilek Okan
2023-Mar-22
Clavien–Dindo classification, Nephrectomy, adipose, muscle, renal cell cancer, surgical complication

[Construction and evaluation of an artificial intelligence-based risk prediction model for death in patients with nasopharyngeal cancer].
In Nan fang yi ke da xue xue bao = Journal of Southern Medical University
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
Zhang H, Lu J, Jiang C, Fang M
2023-Feb-20
artificial intelligence, nasopharyngeal carcinoma, nomogram, predictive model, risk factors

Accelerating network layouts using graph neural networks.
In Nature communications ; h5-index 260.0
Both Csaba, Dehmamy Nima, Yu Rose, Barabási Albert-László
2023-Mar-21

Risk Factors and Predictive Modeling for Post-Acute Sequelae of SARS-CoV-2 Infection: Findings from EHR Cohorts of the RECOVER Initiative.
In Research square
Zang Chengxi, Hou Yu, Schenck Edward, Xu Zhenxing, Zhang Yongkang, Xu Jie, Bian Jiang, Morozyuk Dmitry, Khullar Dhruv, Nordvig Anna, Shenkman Elizabeth, Rothman Russel, Block Jason, Lyman Kristin, Zhang Yiye, Varma Jay, Weiner Mark, Carton Thomas, Wang Fei, Kaushal Rainu, Consortium The Recover
2023-Mar-08

SPeC: A Soft Prompt-Based Calibration on Mitigating Performance Variability in Clinical Notes Summarization
ArXiv Preprint
Yu-Neng Chuang, Ruixiang Tang, Xiaoqian Jiang, Xia Hu
2023-03-23

Assessing the performance of ChatGPT in answering questions regarding cirrhosis and hepatocellular carcinoma.
In Clinical and molecular hepatology
BACKGROUND & AIMS :
METHODS :
RESULTS :
CONCLUSIONS :
Yeo Yee Hui, Samaan Jamil S, Ng Wee Han, Ting Peng-Sheng, Trivedi Hirsh, Vipani Aarshi, Ayoub Walid, Yang Ju Dong, Liran Omer, Spiegel Brennan, Kuo Alexander
2023-Mar-22
accuracy, artificial intelligence, health literacy, patient knowledge, reproducibility

Decreased Resting-State Alpha Self-Synchronization in Depressive Disorder.
In Clinical EEG and neuroscience
Mohammadi Yousef, Kafraj Mohadeseh Shafiei, Graversen Carina, Moradi Mohammad Hassan
2023-Mar-21
Beck Depression Inventory-II, EEG, alpha self-synchronization, depression severity, neural oscillations
Attention fusion network with self-supervised learning for staging of osteonecrosis of the femoral head (ONFH) using multiple MR protocols.
In Medical physics ; h5-index 59.0
BACKGROUND :
PURPOSE :
METHODS :
RESULTS :
CONCLUSIONS :
Kim Bomin, Lee Geun Young, Park Sung-Hong
2023-Mar-21
attention fusion, mr-only staging, multiple mr protocols, osteonecrosis of femoral head, self-supervised learning

Need for Objective Task-based Evaluation of Deep Learning-Based Denoising Methods: A Study in the Context of Myocardial Perfusion SPECT.
In ArXiv
Yu Zitong, Rahman Md Ashequr, Laforest Richard, Schindler Thomas H, Gropler Robert J, Wahl Richard L, Siegel Barry A, Jha Abhinav K
2023-Mar-16

Understanding metric-related pitfalls in image analysis validation.
In ArXiv
Reinke Annika, Tizabi Minu D, Baumgartner Michael, Eisenmann Matthias, Heckmann-Nötzel Doreen, Kavur A Emre, Rädsch Tim, Sudre Carole H, Acion Laura, Antonelli Michela, Arbel Tal, Bakas Spyridon, Benis Arriel, Blaschko Matthew, Büttner Florian, Cardoso M Jorge, Cheplygina Veronika, Chen Jianxu, Christodoulou Evangelia, Cimini Beth A, Collins Gary S, Farahani Keyvan, Ferrer Luciana, Galdran Adrian, van Ginneken Bram, Glocker Ben, Godau Patrick, Haase Robert, Hashimoto Daniel A, Hoffman Michael M, Huisman Merel, Isensee Fabian, Jannin Pierre, Kahn Charles E, Kainmueller Dagmar, Kainz Bernhard, Karargyris Alexandros, Karthikesalingam Alan, Kenngott Hannes, Kleesiek Jens, Kofler Florian, Kooi Thijs, Kopp-Schneider Annette, Kozubek Michal, Kreshuk Anna, Kurc Tahsin, Landman Bennett A, Litjens Geert, Madani Amin, Maier-Hein Klaus, Martel Anne L, Mattson Peter, Meijering Erik, Menze Bjoern, Moons Karel G M, Müller Henning, Nichyporuk Brennan, Nickel Felix, Petersen Jens, Rafelski Susanne M, Rajpoot Nasir, Reyes Mauricio, Riegler Michael A, Rieke Nicola, Saez-Rodriguez Julio, Sánchez Clara I, Shetty Shravya, van Smeden Maarten, Summers Ronald M, Taha Abdel A, Tiulpin Aleksei, Tsaftaris Sotirios A, Calster Ben Van, Varoquaux Gaël, Wiesenfarth Manuel, Yaniv Ziv R, Jäger Paul F, Maier-Hein Lena
2023-Feb-09

Roadmap on Deep Learning for Microscopy.
In ArXiv
Volpe Giovanni, Wählby Carolina, Tian Lei, Hecht Michael, Yakimovich Artur, Monakhova Kristina, Waller Laura, Sbalzarini Ivo F, Metzler Christopher A, Xie Mingyang, Zhang Kevin, Lenton Isaac C D, Rubinsztein-Dunlop Halina, Brunner Daniel, Bai Bijie, Ozcan Aydogan, Midtvedt Daniel, Wang Hao, Sladoje Nataša, Lindblad Joakim, Smith Jason T, Ochoa Marien, Barroso Margarida, Intes Xavier, Qiu Tong, Yu Li-Yu, You Sixian, Liu Yongtao, Ziatdinov Maxim A, Kalinin Sergei V, Sheridan Arlo, Manor Uri, Nehme Elias, Goldenberg Ofri, Shechtman Yoav, Moberg Henrik K, Langhammer Christoph, Špačková Barbora, Helgadottir Saga, Midtvedt Benjamin, Argun Aykut, Thalheim Tobias, Cichos Frank, Bo Stefano, Hubatsch Lars, Pineda Jesus, Manzo Carlo, Bachimanchi Harshith, Selander Erik, Homs-Corbera Antoni, Fränzl Martin, de Haan Kevin, Rivenson Yair, Korczak Zofia, Adiels Caroline Beck, Mijalkov Mite, Veréb Dániel, Chang Yu-Wei, Pereira Joana B, Matuszewski Damian, Kylberg Gustaf, Sintorn Ida-Maria, Caicedo Juan C, Cimini Beth A, Bell Muyinatu A Lediju, Saraiva Bruno M, Jacquemet Guillaume, Henriques Ricardo, Ouyang Wei, Le Trang, Gómez-de-Mariscal Estibaliz, Sage Daniel, Muñoz-Barrutia Arrate, Lindqvist Ebba Josefson, Bergman Johanna
2023-Mar-07

Risk Factors and Predictive Modeling for Post-Acute Sequelae of SARS-CoV-2 Infection: Findings from EHR Cohorts of the RECOVER Initiative.
In Research square
Zang Chengxi, Hou Yu, Schenck Edward, Xu Zhenxing, Zhang Yongkang, Xu Jie, Bian Jiang, Morozyuk Dmitry, Khullar Dhruv, Nordvig Anna, Shenkman Elizabeth, Rothman Russel, Block Jason, Lyman Kristin, Zhang Yiye, Varma Jay, Weiner Mark, Carton Thomas, Wang Fei, Kaushal Rainu, Consortium The Recover
2023-Mar-08

Right Ventricular Sarcomere Contractile Depression and the Role of Thick Filament Activation in Human Heart Failure with Pulmonary Hypertension.
In bioRxiv : the preprint server for biology
RATIONALE :
OBJECTIVE :
METHODS AND RESULTS :
CONCLUSIONS :
Jani Vivek, Aslam M Imran, Fenwick Axel J, Ma Weikang, Gong Henry, Milburn Gregory, Nissen Devin, Salazar Ilton Cubero, Hanselman Olivia, Mukherjee Monica, Halushka Marc K, Margulies Kenneth B, Campbell Kenneth, Irving Thomas C, Kass David A, Hsu Steven
2023-Mar-12

MAHOMES II: A webserver for predicting if a metal binding site is enzymatic.
In bioRxiv : the preprint server for biology
UNLABELLED :
SIGNIFICANCE STATEMENT :
Feehan Ryan, Copeland Matthew, Franklin Meghan W, Slusky Joanna S G
2023-Mar-12

Structure-Kinetics Relationships of Opioids from Metadynamics and Machine Learning.
In bioRxiv : the preprint server for biology
Mahinthichaichan Paween, Liu Ruibin, Vo Quynh N, Ellis Christopher R, Stavitskaya Lidiya, Shen Jana
2023-Mar-07
Clinical and genetic associations of deep learning-derived cardiac magnetic resonance-based left ventricular mass.
In Nature communications ; h5-index 260.0
Khurshid Shaan, Lazarte Julieta, Pirruccello James P, Weng Lu-Chen, Choi Seung Hoan, Hall Amelia W, Wang Xin, Friedman Samuel F, Nauffal Victor, Biddinger Kiran J, Aragam Krishna G, Batra Puneet, Ho Jennifer E, Philippakis Anthony A, Ellinor Patrick T, Lubitz Steven A
2023-Mar-21

A ventilation early warning system (VEWS) for diaphanous workspaces considering COVID-19 and future pandemics scenarios.
In Heliyon
Costa Gonçal, Arroyo Oriol, Rueda Pablo, Briones Alan
2023-Mar
BIM, Building digital twin, COVID-19, Facilities management, IoT, Simulation, Smart building

Fault Prognosis of Turbofan Engines: Eventual Failure Prediction and Remaining Useful Life Estimation
ArXiv Preprint
Joseph Cohen, Xun Huan, Jun Ni
2023-03-23

Computer Vision Analysis of Specimen Mammography to Predict Margin Status.
In medRxiv : the preprint server for health sciences
Chen Kevin A, Kirchoff Kathryn E, Butler Logan R, Holloway Alexa D, Kapadia Muneera R, Gallagher Kristalyn K, Gomez Shawn M
2023-Mar-08

Sequence characteristics and an accurate model of high-occupancy target loci in the human genome.
In bioRxiv : the preprint server for biology
Hudaiberdiev Sanjarbek, Ovcharenko Ivan
2023-Feb-05

MOVER: Medical Informatics Operating Room Vitals and Events Repository.
In medRxiv : the preprint server for health sciences
Samad Muntaha, Rinehart Joseph, Angel Mirana, Kanomata Yuzo, Baldi Pierre, Cannesson Maxime
2023-Mar-12

Preterm Preeclampsia Risk Modelling: Examining Hemodynamic, Biochemical, and Biophysical Markers Prior to Pregnancy.
In medRxiv : the preprint server for health sciences
UNLABELLED :
CLINICAL RELEVANCE :
Loftness Bryn C, Bernstein Ira, McBride Carole A, Cheney Nick, McGinnis Ellen W, McGinnis Ryan S
2023-Mar-06

Synthesize Extremely High-dimensional Longitudinal Electronic Health Records via Hierarchical Autoregressive Language Model.
In Research square
Theodorou Brandon, Xiao Cao, Sun Jimeng
2023-Mar-10

Direct prediction of Homologous Recombination Deficiency from routine histology in ten different tumor types with attention-based Multiple Instance Learning: a development and validation study.
In medRxiv : the preprint server for health sciences
BACKGROUND :
METHODS :
RESULTS :
CONCLUSION :
Lavinia Loeffler Chiara Maria, El Nahhas Omar S M, Muti Hannah Sophie, Seibel Tobias, Cifci Didem, van Treeck Marko, Gustav Marco, Carrero Zunamys I, Gaisa Nadine T, Lehmann Kjong-Van, Leary Alexandra, Selenica Pier, Reis-Filho Jorge S, Bruechle Nadina Ortiz, Kather Jakob Nikolas
2023-Mar-10

Combining pairwise structural similarity and deep learning interface contact prediction to estimate protein complex model accuracy in CASP15.
In bioRxiv : the preprint server for biology
Cheng Jianlin, Roy Raj Shekhor, Liu Jian, Giri Nabin, Guo Zhiye
2023-Mar-12

A multiscale functional map of somatic mutations in cancer integrating protein structure and network topology.
In bioRxiv : the preprint server for biology
Zhang Yingying, Leung Alden K, Qiu Tian, Li Le, Zhang Junke, Wierbowski Shayne, Booth James, Yu Haiyuan
2023-Mar-07

Fully-automated sarcopenia assessment in head and neck cancer: development and external validation of a deep learning pipeline.
In medRxiv : the preprint server for health sciences
PURPOSE :
MATERIALS AND METHODS :
RESULTS :
CONCLUSION :
SUMMARY STATEMENT :
Ye Zezhong, Saraf Anurag, Ravipati Yashwanth, Hoebers Frank, Zha Yining, Zapaishchykova Anna, Likitlersuang Jirapat, Tishler Roy B, Schoenfeld Jonathan D, Margalit Danielle N, Haddad Robert I, Mak Raymond H, Naser Mohamed, Wahid Kareem A, Sahlsten Jaakko, Jaskari Joel, Kaski Kimmo, Mäkitie Antti A, Fuller Clifton D, Aerts Hugo J W L, Kann Benjamin H
2023-Mar-06

Microbiome Preterm Birth DREAM Challenge: Crowdsourcing Machine Learning Approaches to Advance Preterm Birth Research.
In medRxiv : the preprint server for health sciences
Golob Jonathan L, Oskotsky Tomiko T, Tang Alice S, Roldan Alennie, Chung Verena, Ha Connie W Y, Wong Ronald J, Flynn Kaitlin J, Parraga-Leo Antonio, Wibrand Camilla, Minot Samuel S, Andreoletti Gaia, Kosti Idit, Bletz Julie, Nelson Amber, Gao Jifan, Wei Zhoujingpeng, Chen Guanhua, Tang Zheng-Zheng, Novielli Pierfrancesco, Romano Donato, Pantaleo Ester, Amoroso Nicola, Monaco Alfonso, Vacca Mirco, Angelis Maria De, Bellotti Roberto, Tangaro Sabina, Kuntzleman Abigail, Bigcraft Isaac, Techtmann Stephen, Bae Daehun, Kim Eunyoung, Jeon Jongbum, Joe Soobok, Theis Kevin R, Ng Sherrianne, Lee Li Yun S, Bennett Phillip R, MacIntyre David A, Stolovitzky Gustavo, Lynch Susan V, Albrecht Jake, Gomez-Lopez Nardhy, Romero Roberto, Stevenson David K, Aghaeepour Nima, Tarca Adi L, Costello James C, Sirota Marina
2023-Mar-09
A Computed Tomography-Based Radiomics Analysis of Low-Energy Proximal Femur Fractures in the Elderly Patients.
In Current radiopharmaceuticals
INTRODUCTION :
METHODS :
RESULTS :
CONCLUSION :
Mohammadi Seyed Mohammad, Moniri Samir, Mohammadhoseini Payam, Hanafi Mohammad Ghasem, Farasat Maryam, Cheki Mohsen
2023-Mar-21
Radiomics, computed tomography, low-energy fracture, machine learning, osteoporosis, proximal femur

COVID-19 diagnosis: A comprehensive review of pre-trained deep learning models based on feature extraction algorithm.
In Results in engineering
Poola Rahul Gowtham, Pl Lahari, Y Siva Sankar
2023-Jun
Boundary tracing, Covid diagnosis, Deep transfer-learning, Medical imaging, Neural network models and classifiers

Forecast-Aware Model Driven LSTM
ArXiv Preprint
Sophia Hamer, Jennifer Sleeman, Ivanka Stajner
2023-03-23

Human Behavior in the Time of COVID-19: Learning from Big Data
ArXiv Preprint
Hanjia Lyu, Arsal Imtiaz, Yufei Zhao, Jiebo Luo
2023-03-23

Natural language processing models reveal neural dynamics of human conversation.
In bioRxiv : the preprint server for biology
Cai Jing, Hadjinicolaou Alex E, Paulk Angelique C, Williams Ziv M, Cash Sydney S
2023-Mar-11

Digitally Diagnosing Multiple Developmental Delays using Crowdsourcing fused with Machine Learning: A Research Protocol.
In medRxiv : the preprint server for health sciences
BACKGROUND :
OBJECTIVE :
METHODS :
CONCLUSIONS :
Washington Peter
2023-Mar-07

Conserved cysteine residues in Kaposi's sarcoma herpesvirus ORF34 are necessary for viral production and viral pre-initiation complex formation.
In bioRxiv : the preprint server for biology
UNLABELLED :
IMPORTANCE :
Watanabe Tadashi, Narahari Akshara, Bhardwaj Esha, Kuriyama Kazushi, Nishimura Mayu, Izumi Taisuke, Fujimuro Masahiro, Ohno Shinji
2023-Mar-09

Aberrant phase separation is a common killing strategy of positively charged peptides in biology and human disease.
In bioRxiv : the preprint server for biology
Boeynaems Steven, Ma X Rosa, Yeong Vivian, Ginell Garrett M, Chen Jian-Hua, Blum Jacob A, Nakayama Lisa, Sanyal Anushka, Briner Adam, Van Haver Delphi, Pauwels Jarne, Ekman Axel, Schmidt H Broder, Sundararajan Kousik, Porta Lucas, Lasker Keren, Larabell Carolyn, Hayashi Mirian A F, Kundaje Anshul, Impens Francis, Obermeyer Allie, Holehouse Alex S, Gitler Aaron D
2023-Mar-09

Interpreting Generative Adversarial Networks to Infer Natural Selection from Genetic Data.
In bioRxiv : the preprint server for biology
MOTIVATION :
RESULTS :
AVAILABILITY :
Riley Rebecca, Mathieson Iain, Mathieson Sara
2023-Mar-08

Comparative study of convolutional neural network architectures for gastrointestinal lesions classification.
In PeerJ
Cuevas-Rodriguez Erik O, Galvan-Tejada Carlos E, Maeda-Gutiérrez Valeria, Moreno-Chávez Gamaliel, Galván-Tejada Jorge I, Gamboa-Rosales Hamurabi, Luna-García Huizilopoztli, Moreno-Baez Arturo, Celaya-Padilla José María
2023
Classification, Computer-aided diagnostic, Convolutional neural network, Deep learning, Endoscopy, Gastrointestinal, Gastrointestinal lesions

A ventilation early warning system (VEWS) for diaphanous workspaces considering COVID-19 and future pandemics scenarios.
In Heliyon
Costa Gonçal, Arroyo Oriol, Rueda Pablo, Briones Alan
2023-Mar
BIM, Building digital twin, COVID-19, Facilities management, IoT, Simulation, Smart building

COVID-19 diagnosis: A comprehensive review of pre-trained deep learning models based on feature extraction algorithm.
In Results in engineering
Poola Rahul Gowtham, Pl Lahari, Y Siva Sankar
2023-Jun
Boundary tracing, Covid diagnosis, Deep transfer-learning, Medical imaging, Neural network models and classifiers

AMLnet, A deep-learning pipeline for the differential diagnosis of acute myeloid leukemia from bone marrow smears.
In Journal of hematology & oncology ; h5-index 60.0
Yu Zebin, Li Jianhu, Wen Xiang, Han Yingli, Jiang Penglei, Zhu Meng, Wang Minmin, Gao Xiangli, Shen Dan, Zhang Ting, Zhao Shuqi, Zhu Yijing, Tong Jixiang, Yuan Shuchong, Zhu HongHu, Huang He, Qian Pengxu
2023-Mar-21
Acute myeloid leukemia, Bone marrow smears, Deep learning, Diagnosis
Serum immuno-oncology markers carry independent prognostic information in patients with newly diagnosed metastatic breast cancer, from a prospective observational study.
In Breast cancer research : BCR
BACKGROUND :
PATIENTS AND METHODS :
RESULTS :
CONCLUSION :
Gunnarsdottir Frida Björk, Bendahl Pär-Ola, Johansson Alexandra, Benfeitas Rui, Rydén Lisa, Bergenfelz Caroline, Larsson Anna-Maria
2023-Mar-21
Immuno-oncology, Marker, Metastatic breast cancer, Serum, Survival

Using a New Deep Learning Method for 3D Cephalometry in Patients With Cleft Lip and Palate.
In The Journal of craniofacial surgery
Xu Meng, Liu Bingyang, Luo Zhaoyang, Ma Hengyuan, Sun Min, Wang Yongqian, Yin Ningbei, Tang Xiaojun, Song Tao
2023-Mar-22
Impact of inactivated COVID-19 vaccines on lung injury in B.1.617.2 (Delta) variant-infected patients.
In Annals of clinical microbiology and antimicrobials
BACKGROUND :
METHODS :
RESULTS :
CONCLUSION :
Lai Miao, Wang Kai, Ding Chengyuan, Yin Yi, Lin Xiaoling, Xu Chuanjun, Hu Zhiliang, Peng Zhihang
2023-Mar-21
Artificial intelligence (AI), COVID-19, COVID-19 vaccines, Chest CT, Lung injury
Compositional Zero-Shot Domain Transfer with Text-to-Text Models
ArXiv Preprint
Fangyu Liu, Qianchu Liu, Shruthi Bannur, Fernando Pérez-García, Naoto Usuyama, Sheng Zhang, Tristan Naumann, Aditya Nori, Hoifung Poon, Javier Alvarez-Valle, Ozan Oktay, Stephanie L. Hyland
2023-03-23

Fault Prognosis of Turbofan Engines: Eventual Failure Prediction and Remaining Useful Life Estimation
ArXiv Preprint
Joseph Cohen, Xun Huan, Jun Ni
2023-03-23
Mesoporous nanodrug delivery system: a powerful tool for a new paradigm of remodeling of the tumor microenvironment.
In Journal of nanobiotechnology
Hang Yinhui, Liu Yanfang, Teng Zhaogang, Cao Xiongfeng, Zhu Haitao
2023-Mar-21
Mesoporous nanodrug delivery systems, Metabolism, Targeted remodeling, Tumor microenvironment, Tumor therapy

Radiomics nomogram for preoperative differentiation of pulmonary mucinous adenocarcinoma from tuberculoma in solitary pulmonary solid nodules.
In BMC cancer
OBJECTIVE :
METHOD :
RESULTS :
CONCLUSION :
Zhang Junjie, Hao Ligang, Qi MingWei, Xu Qian, Zhang Ning, Feng Hui, Shi Gaofeng
2023-Mar-21
Contrast-enhanced CT, Mucinous adenocarcinoma, Nomogram, Radiomics, Tuberculoma
Impact of inactivated COVID-19 vaccines on lung injury in B.1.617.2 (Delta) variant-infected patients.
In Annals of clinical microbiology and antimicrobials
BACKGROUND :
METHODS :
RESULTS :
CONCLUSION :
Lai Miao, Wang Kai, Ding Chengyuan, Yin Yi, Lin Xiaoling, Xu Chuanjun, Hu Zhiliang, Peng Zhihang
2023-Mar-21
Artificial intelligence (AI), COVID-19, COVID-19 vaccines, Chest CT, Lung injury

PWN: enhanced random walk on a warped network for disease target prioritization.
In BMC bioinformatics
BACKGROUND :
RESULTS :
CONCLUSIONS :
Han Seokjin, Hong Jinhee, Yun So Jeong, Koo Hee Jung, Kim Tae Yong
2023-Mar-21
Disease-target identification, Machine learning, Protein–protein interaction, Random walk

TRandAugment: temporal random augmentation strategy for surgical activity recognition from videos.
In International journal of computer assisted radiology and surgery
PURPOSE :
METHODS :
RESULTS :
CONCLUSION :
Ramesh Sanat, Dall’Alba Diego, Gonzalez Cristians, Yu Tong, Mascagni Pietro, Mutter Didier, Marescaux Jacques, Fiorini Paolo, Padoy Nicolas
2023-Mar-22
Cataract procedures, Data augmentation, Gastric bypass procedures, Surgical activity recognition, Temporal augmentation, Temporal convolutional networks

A new uncertain remanufacturing scheduling model with rework risk using hybrid optimization algorithm.
In Environmental science and pollution research international
Zhang Wenyu, Wang Jun, Liu Xiangqi, Zhang Shuai
2023-Mar-22
Differential evolution algorithm, Interval grey number, Particle swarm optimization algorithm, Remanufacturing scheduling, Rework risk
Application of Deep Learning-Based Denoising Technique for Radiation Dose Reduction in Dynamic Abdominal CT: Comparison with Standard-Dose CT Using Hybrid Iterative Reconstruction Method.
In Journal of digital imaging
Nagata Motonori, Ichikawa Yasutaka, Domae Kensuke, Yoshikawa Kazuya, Kanii Yoshinori, Yamazaki Akio, Nagasawa Naoki, Ishida Masaki, Sakuma Hajime
2023-Mar-21
Abdomen, Computed tomography, Deep learning, Image reconstruction, Radiation dose reduction

Distributed dynamic strain sensing of very long period and long period events on telecom fiber-optic cables at Vulcano, Italy.
In Scientific reports ; h5-index 158.0
Currenti Gilda, Allegra Martina, Cannavò Flavio, Jousset Philippe, Prestifilippo Michele, Napoli Rosalba, Sciotto Mariangela, Di Grazia Giuseppe, Privitera Eugenio, Palazzo Simone, Krawczyk Charlotte
2023-Mar-21
DeepGeni: deep generalized interpretable autoencoder elucidates gut microbiota for better cancer immunotherapy.
In Scientific reports ; h5-index 158.0
Oh Min, Zhang Liqing
2023-Mar-21
Ultra-low-dose CT lung screening with artificial intelligence iterative reconstruction: evaluation via automatic nodule-detection software.
In Clinical radiology
AIM :
MATERIALS AND METHODS :
RESULTS :
CONCLUSION :
Yang L, Liu H, Han J, Xu S, Zhang G, Wang Q, Du Y, Yang F, Zhao X, Shi G
2023-Feb-03

Using the Field Artificial Intelligence Triage (FAIT) tool to predict hospital critical care resource utilization in patients with truncal gunshot wounds.
In American journal of surgery
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
Alser Osaid, Dorken-Gallastegi Ander, Proaño-Zamudio Jefferson A, Nederpelt Charlie, Mokhtari Ava K, Mashbari Hassan, Tsiligkaridis Theodoros, Saillant Noelle N
2023-Mar-17
AI, Gunshot, Machine learning, Resource utilization, Triage

High-performance pediatric surgical risk calculator: A novel algorithm based on machine learning and pediatric NSQIP data.
In American journal of surgery
BACKGROUNDS :
METHODS :
RESULTS :
CONCLUSIONS :
Bertsimas Dimitris, Li Michael, Zhang Nova, Estrada Carlos, Scott Wang Hsin-Hsiao
2023-Mar-13
Machine learning, Pediatric surgical risk, Personalized care, Prediction model

Artificial Intelligence in Pediatric Endoscopy: Current Status and Future Applications.
In Gastrointestinal endoscopy clinics of North America
Dhaliwal Jasbir, Walsh Catharine M
2023-Apr
Artificial intelligence, Artificial neural networks, CADe, CADx, Computer-aided diagnosis, Convolutional neural network, Deep learning, Pediatric gastrointestinal endoscopy

Interpretation and Use of Applied/Operational Machine Learning and Artificial Intelligence in Surgery.
In The Surgical clinics of North America
Douglas Molly J, Callcut Rachel, Celi Leo Anthony, Merchant Nirav
2023-Apr
Artificial intelligence (AI), Augmented reality (AR), Computer vision, Computer-aided diagnosis, Deep learning, Machine learning (ML), Prediction, Surgery

Machine Learning and Artificial Intelligence in Surgical Research.
In The Surgical clinics of North America
Srinivas Shruthi, Young Andrew J
2023-Apr
Artificial intelligence, Machine learning, Surgical research

Generation Learning Differences in Surgery: Why They Exist, Implication, and Future Directions.
In The Surgical clinics of North America
Weykamp Mike, Bingham Jason
2023-Apr
Artificial intelligence, Asynchronous learning, Connectivism, Generational learning, Learning disparities, Learning theory, Machine learning, Medical education

Dynamic 3D imaging of cerebral blood flow in awake mice using self-supervised-learning-enhanced optical coherence Doppler tomography.
In Communications biology
Pan Yingtian, Park Kicheon, Ren Jiaxiang, Volkow Nora D, Ling Haibin, Koretsky Alan P, Du Congwu
2023-Mar-21

Medical diffusion on a budget: textual inversion for medical image generation
ArXiv Preprint
Bram de Wilde, Anindo Saha, Richard P. G. ten Broek, Henkjan Huisman
2023-03-23

Big Data in Surgery.
In The Surgical clinics of North America
Prien Christopher, Lincango Eddy P, Holubar Stefan D
2023-Apr
Artificial intelligence, Big data, Machine learning, Natural language processing, Quality, Registries, Surgery, outcomes research
Radiologist's Disease: Imaging for Renal Cancer.
In The Urologic clinics of North America
Chung Alex, Raman Steven S
2023-May
CT, MRI, Multiphasic contrast imaging, Ultrasound

[Estimation of Shooting Part Using a Camera with Depth Sensors and Pose Estimation Method and Automatic Setting of Optimal X-ray Imaging Conditions].
In Nihon Hoshasen Gijutsu Gakkai zasshi
PURPOSE :
METHODS :
RESULTS :
CONCLUSION :
Eto Michihiro, Nakawatari Tomofumi, Hatanaka Yuji
2023-Mar-23
X-ray image, depth camera, dose management, exposure dose, pose estimation
Priorities for Artificial Intelligence Applications in Primary Care: A Canadian Deliberative Dialogue with Patients, Providers, and Health System Leaders.
In Journal of the American Board of Family Medicine : JABFM
BACKGROUND :
METHODS :
RESULTS :
INTERPRETATION :
Upshaw Tara L, Craig-Neil Amy, Macklin Jillian, Gray Carolyn Steele, Chan Timothy C Y, Gibson Jennifer, Pinto Andrew D
2023-Mar-22
Artificial Intelligence, Canada, Family Medicine, Qualitative Research
Perceptions of Artificial Intelligence Use in Primary Care: A Qualitative Study with Providers and Staff of Ontario Community Health Centres.
In Journal of the American Board of Family Medicine : JABFM
PURPOSE :
METHODS :
RESULTS :
CONCLUSIONS :
Nash Danielle M, Thorpe Cathy, Brown Judith Belle, Kueper Jacqueline K, Rayner Jennifer, Lizotte Daniel J, Terry Amanda L, Zwarenstein Merrick
2023-Mar-22
Artificial Intelligence, Canada, Family Medicine, Informatics, Qualitative Research

Identification of key genes for IgA nephropathy based on machine learning algorithm and correlation analysis of immune cells.
In Transplant immunology ; h5-index 20.0
INTRODUCTION :
METHODS :
RESULTS :
CONCLUSION :
Chen Suzhi, Li Yongzhang, Wang Guangjian, Song Lei, Tan Jinchuan, Yang Fengwen
2023-Mar-20
ATF3, CXLC6, FOSB, Immunoglobulin a nephropathy, Machine learning algorithm

A biomimetic nanoplatform for precise reprogramming of tumor-associated macrophages and NIR-II mediated antitumor immune activation.
In Acta biomaterialia ; h5-index 89.0
Ding Yuan, Qian Xiaohui, Lin Fenghao, Gao Bingqiang, Wang Weili, Yang Huang, Du Yang, Wang Weilin
2023-Mar-20
NIR-II photothermal therapy, antitumor immunity, biomimetic nanoplatform, immunogenic cell death, tumor-associated macrophages

Simplified urinary steroid profiling by LC-MS as diagnostic tool for malignancy in adrenocortical tumors.
In Clinica chimica acta; international journal of clinical chemistry
OBJECTIVES :
METHODS :
RESULTS :
CONCLUSIONS :
Vogg Nora, Müller Tobias, Floren Andreas, Dandekar Thomas, Riester Anna, Dischinger Ulrich, Kurlbaum Max, Kroiss Matthias, Fassnacht Martin
2023-Mar-20
LC-MS/MS, adrenal tumors, adrenocortical carcinoma, mass spectrometry, steroid profiling
Role of hippocampal subfields in neurodegenerative disease progression analyzed with a multi-scale attention-based network.
In NeuroImage. Clinical
BACKGROUND AND OBJECTIVE :
METHODS :
RESULTS :
CONCLUSION :
Xu Hongbo, Liu Yan, Wang Ling, Zeng Xiangzhu, Xu Yingying, Wang Zeng
2023-Mar-15
Alzheimer’s disease, Deep learning, Hippocampal subfields, Mild cognitive impairment, Parkinson disease
Hyper-convolutions via implicit kernels for medical image analysis.
In Medical image analysis
Ma Tianyu, Wang Alan Q, Dalca Adrian V, Sabuncu Mert R
2023-Mar-16
Convolutional Neural Networks, Deep Learning, Hyper-networks

Examination of physical activity development in early childhood: protocol for a longitudinal cohort study of mother-toddler dyads.
In BMC pediatrics ; h5-index 44.0
BACKGROUND :
METHODS :
DISCUSSION :
Welch Sarah B, Honegger Kyle, O’Brien Megan, Capan Selin, Kwon Soyang
2023-Mar-20
Accelerometry, Child development, Machine learning, Parenting, Physical activity

dbCNV: deleteriousness-based model to predict pathogenicity of copy number variations.
In BMC genomics ; h5-index 78.0
BACKGROUND :
RESULTS :
CONCLUSION :
Lv Kangqi, Chen Dayang, Xiong Dan, Tang Huamei, Ou Tong, Kan Lijuan, Zhang Xiuming
2023-Mar-20
Copy number variation, Machine learning, Pathogenicity, XGBoost

Robust classification using average correlations as features (ACF).
In BMC bioinformatics
MOTIVATION :
RESULTS :
Schumann Yannis, Neumann Julia E, Neumann Philipp
2023-Mar-20
Classification, Correlation, Machine learning, Missing values, scRNA-seq

Using artificial intelligence to support rapid, mixed-methods analysis: Developing an automated qualitative assistant (AQUA).
In Annals of family medicine
Lennon Robert, Calo William, Miller Erin, Zgierska Aleksandra, Van Scoy Lauren, Fraleigh Robert
2022-Apr-01

Effective degradation of tetracycline via recyclable free-standing three-dimensional copper-based graphene as a persulfate catalyst.
In Environmental science and pollution research international
Zhao Chuanqi, Liang Liying, Shi Qin, Xia Hui, Li Chaofan, Ma Junguan
2023-Mar-21
3D-rGO-CuxO, Active radicals, Degradation, Persulfate activation, Tetracycline

Artificial intelligence based virtual screening study for competitive and allosteric inhibitors of the SARS-CoV-2 main protease.
In Journal of biomolecular structure & dynamics
Charles Ssemuyiga, Edgar Mulumba Pius, Mahapatra Rajani Kanta
2023-Mar-21
Artificial intelligence, COVID-19, SARS-CoV-2 main protease, deep docking, molecular docking, molecular dynamics simulation, neural networks

Nanotechnology and Artificial Intelligence: An Emerging Paradigm for Postoperative Patient Care.
In Aesthetic surgery journal ; h5-index 35.0
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
Del Vecchio Daniel, Stein Michael J, Dayan Erez, Marte Joseph, Theodorou Spero
2023-Mar-21

Development and validation of machine learning-based model for mortality prediction in patients with acute basilar artery occlusion receiving endovascular treatment: multicentric cohort analysis.
In Journal of neurointerventional surgery ; h5-index 49.0
BACKGROUND :
METHODS :
RESULTS :
CONCLUSION :
Liu Chang, Huang Jiacheng, Kong Weilin, Chen Liyuan, Song Jiaxing, Yang Jie, Li Fengli, Zi Wenjie
2023-Mar-21
Intervention, Stroke

Filopodia-like protrusions of adjacent somatic cells shape the developmental potential of oocytes.
In Life science alliance
Crozet Flora, Letort Gaëlle, Bulteau Rose, Da Silva Christelle, Eichmuller Adrien, Tortorelli Anna Francesca, Blévinal Joséphine, Belle Morgane, Dumont Julien, Piolot Tristan, Dauphin Aurélien, Coulpier Fanny, Chédotal Alain, Maître Jean-Léon, Verlhac Marie-Hélène, Clarke Hugh J, Terret Marie-Emilie
2023-Jun

Forecasting Risk of Future Rapid Glaucoma Worsening Using Early Visual Field, Optical Coherence Tomography, and Clinical Data.
In Ophthalmology. Glaucoma
PURPOSE :
DESIGN :
SUBJECTS :
METHODS :
MAIN OUTCOME MEASURES :
RESULTS :
CONCLUSION :
Herbert Patrick, Hou Kaihua, Bradley Chris, Hager Greg, Boland Michael V, Ramulu Pradeep, Unberath Mathias, Yohannan Jithin
2023-Mar-19
Deep Learning, Forecasting, Glaucoma

Artificial intelligence for the classification of pigmented skin lesions in populations with skin of colour: A systematic review.
In Dermatology (Basel, Switzerland)
Liu Yuyang, Primiero Clare A, Kulkarni Vishnutheertha, Soyer H Peter, Betz-Stablein Brigid
2023-Mar-21

Lower body kinematics estimation during walking using an accelerometer.
In Journal of biomechanics
Mantashloo Zahed, Abbasi Ali, Tazji Mehdi Khaleghi, Pedram Mir Mohsen
2023-Mar-17
Accelerometer, Gait analysis, Joint angle, Machine learning, Random forest, Statistical parametric mapping

Metabolic and Inflammatory profiles define phenotypes with clinical relevance in female knee osteoarthritis patients with joint effusion.
In Rheumatology (Oxford, England)
OBJECTIVES :
METHODS :
RESULTS :
CONCLUSION :
Calvet Joan, García-Manrique María, Berenguer-Llergo Antoni, Orellana Cristóbal, Cirera Silvia Garcia, Llop Maria, Lencastre Carlos Galisteo, Arévalo Marta, Aymerich Cristina, Gómez Rafael, Giménez Néstor Albiñana, Gratacó Jordi
2023-Mar-21
Knee osteoarthritis, clinical severity, inflammatory, machine learning, metabolism, phenotype

Phenonaut; multiomics data integration for phenotypic space exploration.
In Bioinformatics (Oxford, England)
SUMMARY :
AVAILABILITY AND IMPLEMENTATION :
SUPPLEMENTARY INFORMATION :
Shave Steven, Dawson John C, Athar Abdullah M, Nguyen Cuong Q, Kasprowicz Richard, Carragher Neil O
2023-Mar-21

Racial difference in the association between non-alcoholic fatty liver disease and incident type 2 diabetes: findings from the CARDIA study.
In Diabetologia ; h5-index 79.0
AIMS/HYPOTHESIS :
METHODS :
RESULTS :
CONCLUSIONS/INTERPRETATION :
Hatano Yu, VanWagner Lisa B, Carnethon Mercedes R, Bancks Michael P, Carson April P, Lloyd-Jones Donald M, Østbye Truls, Viera Anthony J, Yano Yuichiro
2023-Mar-21
Machine learning, Non-alcoholic fatty liver disease, Racial difference, Type 2 diabetes

Gender Differences in the Nonspecific and Health-Specific Use of Social Media Before and During the COVID-19 Pandemic: Trend Analysis Using HINTS 2017-2020 Data.
In Journal of health communication ; h5-index 36.0
Ye Linglong, Chen Yang, Cai Yongming, Kao Yi-Wei, Wang Yuanxin, Chen Mingchih, Shia Ben-Chang, Qin Lei
2023-Mar-21

Combining Machine Learning with Physical Knowledge in Thermodynamic Modeling of Fluid Mixtures.
In Annual review of chemical and biomolecular engineering
Jirasek Fabian, Hasse Hans
2023-Mar-21

Decoding study-independent mind-wandering from EEG using convolutional neural networks.
In Journal of neural engineering ; h5-index 52.0
Jin Christina Yi, Borst Jelmer P, van Vugt Marieke
2023-Mar-21
EEG, classifier, convolutional neural network, generalizability, machine learning, meta-learner, mind-wandering

Modern Artificial Neural Networks: Is Evolution Cleverer?
In Neural computation
Bahmer Andreas, Gupta Daya, Effenberger Felix
2023-Mar-16

Classification of Parkinson's disease with dementia using phase locking factor of event-related oscillations to visual and auditory stimuli.
In Journal of neural engineering ; h5-index 52.0
Tülay Emine Elif, Yıldırım Ebru, Aktürk Tuba, Güntekin Bahar
2023-Mar-21
Classification, Delta, Theta, Inter-trial phase coherence, Linear Discriminant Analysis, “Parkinsons Disease with dementia”
Combination Use of Compressed Sensing and Deep Learning for Shoulder Magnetic Resonance Imaging With Various Sequences.
In Journal of computer assisted tomography
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
Shiraishi Kaori, Nakaura Takeshi, Uetani Hiroyuki, Nagayama Yasunori, Kidoh Masafumi, Kobayashi Naoki, Morita Kosuke, Yamahita Yuichi, Miyamoto Takeshi, Hirai Toshinori
2023-Mar-09

Using artificial intelligence to support rapid, mixed-methods analysis: Developing an automated qualitative assistant (AQUA).
In Annals of family medicine
Lennon Robert, Calo William, Miller Erin, Zgierska Aleksandra, Van Scoy Lauren, Fraleigh Robert
2022-Apr-01

The debate over understanding in AI's large language models.
In Proceedings of the National Academy of Sciences of the United States of America
Mitchell Melanie, Krakauer David C
2023-Mar-28
artificial intelligence, large language models, understanding

Association between urinary albumin creatinine ratio and cardiovascular disease.
In PloS one ; h5-index 176.0
INTRODUCTION :
METHOD :
RESULTS :
CONCLUSION :
Kim Yoo Jin, Hwang Sang Won, Lee Taesic, Lee Jun Young, Uh Young
2023
Prevalence of and factors associated with intimate partner violence victimhood among men who have sex with men in Guangzhou, China.
In Sexually transmitted diseases
BACKGROUND :
AIMS :
METHODS :
RESULTS :
CONCLUSIONS :
Lin Kaihao, Tan Zhimin, Li Jing, Cheng Weibin, Yang Yi, Jiang Hongbo
2023-Mar-22

Expanding Cosmetic Plastic Surgery Research Using ChatGPT.
In Aesthetic surgery journal ; h5-index 35.0
BACKGROUND :
OBJECTIVES :
METHODS :
RESULTS :
CONCLUSIONS :
Gupta Rohun, Park John B, Bisht Chirag, Herzog Isabel, Weisberger Joseph, Chao John, Chaiyasate Kongkrit, Lee Edward S
2023-Mar-21

Protein structure prediction with in-cell photo-crosslinking mass spectrometry and deep learning.
In Nature biotechnology ; h5-index 151.0
Stahl Kolja, Graziadei Andrea, Dau Therese, Brock Oliver, Rappsilber Juri
2023-Mar-20

Relationship Between Coronavirus Disease 2019 Vaccination Rates and Rare But Potentially Fatal Adverse Events: A Regression Discontinuity Analysis of Western Countries.
In Journal of Korean medical science
BACKGROUND :
METHODS :
RESULTS :
CONCLUSION :
Chae Seung Hoon, Park Hyung Jun, Radnaabaatar Munkhzul, Park Hojun, Jung Jaehun
2023-Mar-20
COVID-19, Regression Discontinuity Analysis, SARS-CoV-2

Sparks of Artificial General Intelligence: Early experiments with GPT-4
ArXiv Preprint
Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, Yin Tat Lee, Yuanzhi Li, Scott Lundberg, Harsha Nori, Hamid Palangi, Marco Tulio Ribeiro, Yi Zhang
2023-03-22

Understanding Social Robots: Attribution of Intentional Agency to Artificial and Biological Bodies.
In Artificial life
Ziemke Tom
2023-Mar-16
Attribution, embodiment, grounding, human–robot interaction, intentionality, observer’s grounding problem, social robots

Artificial intelligence based virtual screening study for competitive and allosteric inhibitors of the SARS-CoV-2 main protease.
In Journal of biomolecular structure & dynamics
Charles Ssemuyiga, Edgar Mulumba Pius, Mahapatra Rajani Kanta
2023-Mar-21
Artificial intelligence, COVID-19, SARS-CoV-2 main protease, deep docking, molecular docking, molecular dynamics simulation, neural networks

CranioRate TM: An Image-Based, Deep-Phenotyping Analysis Toolset and Online Clinician Interface for Metopic Craniosynostosis.
In Plastic and reconstructive surgery ; h5-index 62.0
INTRODUCTION :
METHODS :
RESULTS :
CONCLUSION :
Beiriger Justin W, Tao Wenzheng, Bruce Madeleine K, Anstadt Erin, Christensen Cameron, Smetona John, Whitaker Ross, Goldstein Jesse
2023-Mar-22

The Role of MicroRNAs in Predicting the Neurological Outcome of Patients with Subarachnoid Hemorrhage: A Meta-analysis.
In Cellular and molecular neurobiology
Li Jian, Liu Wei, Anniwaer Ankaerjiang, Li Bo, Chen Yutang, Yu Zhaoxia, Yu Xiangyou
2023-Mar-21
Machine learning, Meta analysis, Subarachnoid hemorrhage, microRNAs

Deep learning-based high-accuracy detection for lumbar and cervical degenerative disease on T2-weighted MR images.
In European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
PURPOSE :
METHODS :
RESULTS :
CONCLUSION :
Yi Wei, Zhao Jingwei, Tang Wen, Yin Hongkun, Yu Lifeng, Wang Yaohui, Tian Wei
2023-Mar-21
Deep learning, Degenerative disc disease, Magnet resonance imaging, Spine
Hyperselective neurectomy of thoracodorsal nerve for treatment of the shoulder spasticity: anatomical study and preliminary clinical results.
In Acta neurochirurgica ; h5-index 35.0
BACKGROUND :
METHODS :
RESULTS :
CONCLUSION :
Lin Weishan, Li Tie, Qi Wenjun, Shen Yundong, Xu Wendong
2023-Mar-21
Hyperselective neurectomy, Latissimus dorsi, Shoulder joint, Spasticity, Thoracodorsal nerve

Identifying geographic atrophy.
In Current opinion in ophthalmology
PURPOSE OF REVIEW :
RECENT FINDINGS :
SUMMARY :
Clevenger Leanne, Rachitskaya Aleksandra
2023-Mar-20
Comparison of deep learning-based reconstruction of PROPELLER Shoulder MRI with conventional reconstruction.
In Skeletal radiology
OBJECTIVE :
MATERIALS AND METHODS :
RESULTS :
CONCLUSION :
Hahn Seok, Yi Jisook, Lee Ho-Joon, Lee Yedaun, Lee Joonsung, Wang Xinzeng, Fung Maggie
2023-Mar-21
Acceleration, Deep learning, Magnetic resonance imaging, Shoulder

Effective and Efficient Active Learning for Deep Learning Based Tissue Image Analysis.
In Bioinformatics (Oxford, England)
MOTIVATION :
RESULTS :
AVAILABILITY :
SUPPLEMENTARY INFORMATION :
Meirelles André L S, Kurc Tahsin, Kong Jun, Ferreira Renato, Saltz Joel, Teodoro George
2023-Mar-21
Technology and Tool Development for BACPAC: Qualitative and Quantitative Analysis of Accelerated Lumbar Spine MRI with Deep-Learning Based MR Image Reconstruction at 3T.
In Pain medicine (Malden, Mass.)
OBJECTIVES :
METHODS :
RESULTS :
CONCLUSIONS :
Han Misung, Bahroos Emma, Hess Madeline E, Chin Cynthia T, Gao Kenneth T, Shin David D, Villanueva-Meyer Javier E, Link Thomas M, Pedoia Valentina, Majumdar Sharmila
2023-Mar-21
Clinical MRI, Deep Learning Reconstruction, Fast Acquisition, Lower Back Pain, Lumbar Spine MRI, Segmentation
Multiomic signatures of body mass index identify heterogeneous health phenotypes and responses to a lifestyle intervention.
In Nature medicine ; h5-index 170.0
Watanabe Kengo, Wilmanski Tomasz, Diener Christian, Earls John C, Zimmer Anat, Lincoln Briana, Hadlock Jennifer J, Lovejoy Jennifer C, Gibbons Sean M, Magis Andrew T, Hood Leroy, Price Nathan D, Rappaport Noa
2023-Mar-20
Acceptability and Effectiveness of COVID-19 Contact Tracing Applications: A Case Study in Saudi Arabia of the Tawakkalna Application.
In Cureus
Dawood Safia, AlKadi Khulud
2023-Feb
acceptability, contact tracing, covid-19, mhealth, permission, privacy, privilege, security, tawakkalna
ExBEHRT: Extended Transformer for Electronic Health Records to Predict Disease Subtypes & Progressions
ArXiv Preprint
Maurice Rupp, Oriane Peter, Thirupathi Pattipaka
2023-03-22

Early Triage of Critically Ill Adult Patients With Mushroom Poisoning: Machine Learning Approach.
In JMIR formative research
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
Liu Yuxuan, Lyu Xiaoguang, Yang Bo, Fang Zhixiang, Hu Dejun, Shi Lei, Wu Bisheng, Tian Yong, Zhang Enli, Yang YuanChao
2023-Mar-21
XGBoost, extreme gradient boosting, machine learning, model, mushroom poisoning, triage

Vitamin D in atherosclerosis and cardiovascular events.
In European heart journal ; h5-index 154.0
Carbone Federico, Liberale Luca, Libby Peter, Montecucco Fabrizio
2023-Mar-21
Adipose tissue, Atherosclerosis, Inflammation, Senescence, Vitamin D, Vitamin D receptor

A Standardized Clinical Data Harmonization Pipeline for Scalable AI Application Deployment (FHIR-DHP): Validation and Usability Study.
In JMIR medical informatics ; h5-index 23.0
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
Williams Elena, Kienast Manuel, Medawar Evelyn, Reinelt Janis, Merola Alberto, Klopfenstein Sophie Anne Ines, Flint Anne Rike, Heeren Patrick, Poncette Akira-Sebastian, Balzer Felix, Beimes Julian, von Bünau Paul, Chromik Jonas, Arnrich Bert, Scherf Nico, Niehaus Sebastian
2023-Mar-21
AI, AI application, FHIR, MIMIC IV, artificial intelligence, care, care unit, cooperation, data, data interoperability, data standardization pipeline, deployment, diagnosis, fast healthcare interoperability resources, medical information mart for intensive care, medical research, patient care, usability
Heterogeneity in the response to n-3 polyunsaturated fatty acids.
In Current opinion in clinical nutrition and metabolic care
PURPOSE OF REVIEW :
RECENT FINDINGS :
SUMMARY :
Shaikh Saame Raza, Bazinet Richard P
2023-Mar-21
AI Cardiac MRI Scar Analysis Aids Prediction of Major Arrhythmic Events in the Multicenter DERIVATE Registry.
In Radiology ; h5-index 91.0
Ghanbari Fahime, Joyce Thomas, Lorenzoni Valentina, Guaricci Andrea I, Pavon Anna-Giulia, Fusini Laura, Andreini Daniele, Rabbat Mark G, Aquaro Giovanni Donato, Abete Raffaele, Bogaert Jan, Camastra Giovanni, Carigi Samuela, Carrabba Nazario, Casavecchia Grazia, Censi Stefano, Cicala Gloria, De Cecco Carlo N, De Lazzari Manuel, Di Giovine Gabriella, Di Roma Mauro, Focardi Marta, Gaibazzi Nicola, Gismondi Annalaura, Gravina Matteo, Lanzillo Chiara, Lombardi Massimo, Lozano-Torres Jordi, Masi Ambra, Moro Claudio, Muscogiuri Giuseppe, Nese Alberto, Pradella Silvia, Sbarbati Stefano, Schoepf U Joseph, Valentini Adele, Crelier Gérard, Masci Pier Giorgio, Pontone Gianluca, Kozerke Sebastian, Schwitter Juerg
2023-Mar-21

Paradoxical decrease of imitation performance with age in children.
In British journal of psychology (London, England : 1953)
Ottoboni Giovanni, Toraldo Alessio, Proietti Riccardo, Cangelosi Angelo, Tessari Alessia
2023-Mar-21
body knowledge, children, development, double dissociation, imitation, meaningless action, movement complexity, working memory

Machine learning to predict major bleeding during anticoagulation for venous thromboembolism: possibilities and limitations.
In British journal of haematology ; h5-index 64.0
Mora Damián, Mateo Jorge, Nieto José A, Bikdeli Behnood, Yamashita Yugo, Barco Stefano, Jimenez David, Demelo-Rodriguez Pablo, Rosa Vladimir, Yoo Hugo Hyung Bok, Sadeghipour Parham, Monreal Manuel
2023-Mar-21
haemorrhage, machine learning, outcomes, pulmonary embolism, venous thrombosis
Convolution Neural Network Algorithm for Shockable Arrhythmia Classification Within a Digitally Connected Automated External Defibrillator.
In Journal of the American Heart Association ; h5-index 70.0
Shen Christine P, Freed Benjamin C, Walter David P, Perry James C, Barakat Amr F, Elashery Ahmad Ramy A, Shah Kevin S, Kutty Shelby, McGillion Michael, Ng Fu Siong, Khedraki Rola, Nayak Keshav R, Rogers John D, Bhavnani Sanjeev P
2023-Mar-21
ECG, automated external defibrillator, convolution neural network, machine learning, ventricular arrhythmias

Artificial Intelligence-enabled Decision Support in Surgery: State-of-the-art and Future Directions.
In Annals of surgery ; h5-index 104.0
OBJECTIVE :
SUMMARY BACKGROUND DATA :
METHODS :
RESULTS :
CONCLUSIONS :
Loftus Tyler J, Altieri Maria S, Balch Jeremy A, Abbott Kenneth L, Choi Jeff, Marwaha Jayson S, Hashimoto Daniel A, Brat Gabriel A, Raftopoulos Yannis, Evans Heather L, Jackson Gretchen P, Walsh Danielle S, Tignanelli Christopher J
2023-Mar-21

Gender Differences in the Nonspecific and Health-Specific Use of Social Media Before and During the COVID-19 Pandemic: Trend Analysis Using HINTS 2017-2020 Data.
In Journal of health communication ; h5-index 36.0
Ye Linglong, Chen Yang, Cai Yongming, Kao Yi-Wei, Wang Yuanxin, Chen Mingchih, Shia Ben-Chang, Qin Lei
2023-Mar-21

Exploring the impact mechanism of low-carbon multivariate coupling system in Chinese typical cities based on machine learning.
In Scientific reports ; h5-index 158.0
Yang Haonan, Chen Liang, Huang Huan, Tang Panyu, Xie Hua, Wang Chu
2023-Mar-20
Examining thematic and emotional differences across Twitter, Reddit, and YouTube: The case of COVID-19 vaccine side effects.
In Computers in human behavior ; h5-index 125.0
Kwon Soyeon, Park Albert
2023-Jul
Consumer health information, Schema theory, Social media, Social network analysis, Unsupervised machine learning

Synthetic Health-related Longitudinal Data with Mixed-type Variables Generated using Diffusion Models
ArXiv Preprint
Nicholas I-Hsien Kuo, Louisa Jorm, Sebastiano Barbieri
2023-03-22
Gut feelings: associations of emotions and emotion regulation with the gut microbiome in women.
In Psychological medicine ; h5-index 82.0
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
Ke Shanlin, Guimond Anne-Josee, Tworoger Shelley S, Huang Tianyi, Chan Andrew T, Liu Yang-Yu, Kubzansky Laura D
2023-Mar-21
Emotion regulation, emotions, gut microbiome, gut–brain axis
Functional and structural alterations of dorsal attention network in preclinical and early-stage Alzheimer's disease.
In CNS neuroscience & therapeutics
OBJECTIVES :
METHODS :
RESULTS :
CONCLUSIONS :
Wu Huimin, Song Yu, Yang Xinyi, Chen Shanshan, Ge Honglin, Yan Zheng, Qi Wenzhang, Yuan Qianqian, Liang Xuhong, Lin Xingjian, Chen Jiu
2023-Mar-21
amnestic mild cognitive impairment, dorsal attention network, resting-state functional magnetic resonance imaging, structural magnetic resonance imaging, subjective cognitive decline

Relationship Between Coronavirus Disease 2019 Vaccination Rates and Rare But Potentially Fatal Adverse Events: A Regression Discontinuity Analysis of Western Countries.
In Journal of Korean medical science
BACKGROUND :
METHODS :
RESULTS :
CONCLUSION :
Chae Seung Hoon, Park Hyung Jun, Radnaabaatar Munkhzul, Park Hojun, Jung Jaehun
2023-Mar-20
COVID-19, Regression Discontinuity Analysis, SARS-CoV-2

Identifying Disease of Interest With Deep Learning Using Diagnosis Code.
In Journal of Korean medical science
BACKGROUND :
METHODS :
RESULTS :
CONCLUSION :
Cho Yoon-Sik, Kim Eunsun, Stafford Patrick L, Oh Min-Hwan, Kwon Younghoon
2023-Mar-20
Deep Learning, Diagnosis Code, Gastric Cancer, Machine Learning, Prediction

[Progress in research of risk prediction model for chronic kidney disease].
In Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi
Zeng Z Q, Yang S C, Yu C Q, Zhang L X, Lyu J, Li L M
2023-Mar-10

Relationship between the deep features of the full-scan pathological map of mucinous gastric carcinoma and related genes based on deep learning.
In Heliyon
BACKGROUND :
METHODS :
RESULT :
CONCLUSION :
Li Ding, Li Xiaoyuan, Li Shifang, Qi Mengmeng, Sun Xiaowei, Hu Guojie
2023-Mar
Bioinformatics, Deep learning, Genomics, Mucinous gastric carcinoma, Pathomics

A deep learning approach for lane marking detection applying encode-decode instant segmentation network.
In Heliyon
Al Mamun Abdullah, Em Poh Ping, Hossen Md Jakir, Jahan Busrat, Tahabilder Anik
2023-Mar
ADAS, CalTech, Deep learning, Lane markings detection, Segmentation, Tusimple
Acceptability and Effectiveness of COVID-19 Contact Tracing Applications: A Case Study in Saudi Arabia of the Tawakkalna Application.
In Cureus
Dawood Safia, AlKadi Khulud
2023-Feb
acceptability, contact tracing, covid-19, mhealth, permission, privacy, privilege, security, tawakkalna
Racial Equity in Healthcare Machine Learning: Illustrating Bias in Models With Minimal Bias Mitigation.
In Cureus
Barton Michael, Hamza Mahmoud, Guevel Borna
2023-Feb
data science, health equity, healthcare technology, machine learning, racial bias
Examining thematic and emotional differences across Twitter, Reddit, and YouTube: The case of COVID-19 vaccine side effects.
In Computers in human behavior ; h5-index 125.0
Kwon Soyeon, Park Albert
2023-Jul
Consumer health information, Schema theory, Social media, Social network analysis, Unsupervised machine learning

A study on Shine-Muscat grape detection at maturity based on deep learning.
In Scientific reports ; h5-index 158.0
Wei Xinjie, Xie Fuxiang, Wang Kai, Song Jian, Bai Yang
2023-Mar-20

CBCovid19EC: A dataset complete blood count and PCR test for COVID-19 detection in Ecuadorian population.
In Data in brief
Ordoñez-Avila R, Parraga-Alava J, Hormaza J Meza, Vaca-Cárdenas L, Portmann E, Terán L, Dorn M
2023-Apr
Ecuador, Hematological data, Machine learning, SARS-Cov-2
MEDIMP: Medical Images and Prompts for renal transplant representation learning
ArXiv Preprint
Leo Milecki, Vicky Kalogeiton, Sylvain Bodard, Dany Anglicheau, Jean-Michel Correas, Marc-Olivier Timsit, Maria Vakalopoulou
2023-03-22
Splicing signature database development to delineate cancer pathways using literature mining and transcriptome machine learning.
In Computational and structural biotechnology journal
Lee Kyubin, Hyung Daejin, Cho Soo Young, Yu Namhee, Hong Sewha, Kim Jihyun, Kim Sunshin, Han Ji-Youn, Park Charny
2023
AS, Alternative splicing, AUCPR, the area under the precision-recall curve, AUROC, the area under the receiver operating characteristic, Alternative splicing, DAS, differential alternative splicing, Database, EMT, epithelial mesenchymal transition, Gene signature, ML, machine learning, Machine-learning, NER, named entity recognition, NLP, natural language process, PCA, principal component analysis, PSI, percent spliced in index, RF, random-forest, SF, splicing factor, TCGA, The Cancer Genome Atlas, Text-mining, Tumor transcriptome

A dataset on the physiological state and behavior of drivers in conditionally automated driving.
In Data in brief
Meteier Quentin, Capallera Marine, de Salis Emmanuel, Angelini Leonardo, Carrino Stefano, Widmer Marino, Abou Khaled Omar, Mugellini Elena, Sonderegger Andreas
2023-Apr
Conditionally automated driving, Driver state, Electrocardiogram (ECG), Electrodermal activity (EDA), Physiology, Respiration, Situation awareness (SA), Takeover quality

CBCovid19EC: A dataset complete blood count and PCR test for COVID-19 detection in Ecuadorian population.
In Data in brief
Ordoñez-Avila R, Parraga-Alava J, Hormaza J Meza, Vaca-Cárdenas L, Portmann E, Terán L, Dorn M
2023-Apr
Ecuador, Hematological data, Machine learning, SARS-Cov-2

Image dataset of urine test results on petri dishes for deep learning classification.
In Data in brief
da Silva Gabriel Rodrigues, Rosmaninho Igor Batista, Zancul Eduardo, de Oliveira Vanessa Rita, Francisco Gabriela Rodrigues, Dos Santos Nathamy Fernanda, de Mello Macêdo Karin, da Silva Amauri José, de Lima Érika Knabben, Lemo Mara Elisa Borsato, Maldonado Alessandra, Moura Maria Emilia G, da Silva Flávia Helena, Guimarães Gustavo Stuani
2023-Apr
Computational Vision, Image Classification, Petri Dish, Urine Test Classification

Using machine learning prediction models for quality control: a case study from the automotive industry.
In Computational management science
Msakni Mohamed Kais, Risan Anders, Schütz Peter
2023
Manufacturing, Neural network, Quality control, Random forest

Latest Trends in Retinopathy of Prematurity: Research on Risk Factors, Diagnostic Methods and Therapies.
In International journal of general medicine
Bujoreanu Bezman Laura, Tiutiuca Carmen, Totolici Geanina, Carneciu Nicoleta, Bujoreanu Florin Ciprian, Ciortea Diana Andreea, Niculet Elena, Fulga Ana, Alexandru Anamaria Madalina, Stan Daniela Jicman, Nechita Aurel
2023
anti-VEGF, artificial intelligence, optical coherence tomography, retinopathy of prematurity, risk factors, telescreening
Assessment of a combined musculoskeletal and chest deep learning-based detection solution in an emergency setting.
In European journal of radiology open
RATIONALE AND OBJECTIVES :
MATERIAL AND METHODS :
RESULTS :
CONCLUSION :
Parpaleix Alexandre, Parsy Clémence, Cordari Marina, Mejdoubi Mehdi
2023
Add-on, Chest, Deep learning, Emergency, Musculoskeletal, Xray

Chemical rules for optimization of chemical mutagenicity via matched molecular pairs analysis and machine learning methods.
In Journal of cheminformatics
Lou Chaofeng, Yang Hongbin, Deng Hua, Huang Mengting, Li Weihua, Liu Guixia, Lee Philip W, Tang Yun
2023-Mar-20
Consensus model, Lead optimization, Machine learning, Matched molecular pairs analysis, Mutagenicity optimization

Transcriptomes of the tumor-adjacent normal tissues are more informative than tumors in predicting recurrence in colorectal cancer patients.
In Journal of translational medicine
BACKGROUND :
RESULTS :
CONCLUSIONS :
Kim Jinho, Kim Hyunjung, Lee Min-Seok, Lee Heetak, Kim Yeon Jeong, Lee Woo Yong, Yun Seong Hyeon, Kim Hee Cheol, Hong Hye Kyung, Hannenhalli Sridhar, Cho Yong Beom, Park Donghyun, Choi Sun Shim
2023-Mar-21
Colorectal cancer, Elastic net-based machine learning, Normal tissues adjacent to tumors, Recurrence, Tumor-infiltrating immune cells

Use of machine learning-based integration to develop a monocyte differentiation-related signature for improving prognosis in patients with sepsis.
In Molecular medicine (Cambridge, Mass.)
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
Ning Jingyuan, Sun Keran, Wang Xuan, Fan Xiaoqing, Jia Keqi, Cui Jinlei, Ma Cuiqing
2023-Mar-20
EVL, Machine learning, Prognosis, Sepsis, Single cell

Intensive care photoplethysmogram datasets and machine-learning for blood pressure estimation: Generalization not guarantied.
In Frontiers in physiology
Weber-Boisvert Guillaume, Gosselin Benoit, Sandberg Frida
2023
BP estimation, PPG datasets, PPG-BP, UCI, blood pressure estimation, intensive care datasets, mimic, photoplethysmography

Using machine learning to identify early predictors of adolescent emotion regulation development.
In Journal of research on adolescence : the official journal of the Society for Research on Adolescence
Van Lissa Caspar J, Beinhauer Lukas, Branje Susan, Meeus Wim H J
2023-Mar-20
adolescence, emotion regulation, machine learning, random forests, theory formation

Obstacles to effective model deployment in healthcare.
In Journal of bioinformatics and computational biology
Chan Wei Xin, Wong Limsoon
2023-Mar-18
Clinical prediction models, deployment, machine learning

Asynchrony rescues statistically optimal group decisions from information cascades through emergent leaders.
In Royal Society open science
Reina Andreagiovanni, Bose Thomas, Srivastava Vaibhav, Marshall James A R
2023-Mar
Bayesian brain, collective decision-making, emergent leaders, information cascades

Uncovering spatiotemporal patterns of atrophy in progressive supranuclear palsy using unsupervised machine learning.
In Brain communications
Scotton William J, Shand Cameron, Todd Emily, Bocchetta Martina, Cash David M, VandeVrede Lawren, Heuer Hilary, Young Alexandra L, Oxtoby Neil, Alexander Daniel C, Rowe James B, Morris Huw R, Boxer Adam L, Rohrer Jonathan D, Wijeratne Peter A
2023
Subtype and Stage Inference, biomarkers, disease progression, machine learning, progressive supranuclear palsy

CMS-NET: deep learning algorithm to segment and quantify the ciliary muscle in swept-source optical coherence tomography images.
In Therapeutic advances in chronic disease
BACKGROUND :
OBJECTIVES :
DESIGN :
METHODS :
RESULTS :
CONCLUSION :
Chen Wen, Yu Xiangle, Ye Yiru, Gao Hebei, Cao Xinyuan, Lin Guangqing, Zhang Riyan, Li Zixuan, Wang Xinmin, Zhou Yuheng, Shen Meixiao, Shao Yilei
2023
accommodation, ciliary muscle, deep learning, optical coherence tomography (OCT), presbyopia

Automated ICD coding for coronary heart diseases by a deep learning method.
In Heliyon
Zhao Shuai, Diao Xiaolin, Xia Yun, Huo Yanni, Cui Meng, Wang Yuxin, Yuan Jing, Zhao Wei
2023-Mar
BERT, Coronary heart diseases, Deep learning, ICD coding, Interpretability

Interactions between silica and titanium nanoparticles and oral and gastrointestinal epithelia: Consequences for inflammatory diseases and cancer.
In Heliyon
Coutinho Almeida-da-Silva Cássio Luiz, Cabido Leticia Ferreira, Chin Wei-Chun, Wang Ge, Ojcius David M, Li Changqing
2023-Mar
Cancer, Cytotoxicity, DAMP, damage-assocaited molecular pattern, Epithelium, FBG, foreign body gingivitis, Imaging, Inflammasome, Inflammation, NP, nanoparticle, Nanoparticles, PAMP, pathogen-assocaited molecular pattern, ROS, reactive oxygen species

COVID-19 and pneumonia diagnosis from chest X-ray images using convolutional neural networks.
In Network modeling and analysis in health informatics and bioinformatics
Hariri Muhab, Avşar Ercan
2023
COVID-19, Classification, Convolutional neural networks, Deep learning, Lung diseases, Transfer learning

An accessible and versatile deep learning-based sleep stage classifier.
In Frontiers in neuroinformatics
Hanna Jevri, Flöel Agnes
2023
EEG, classification, deep learning, machine learning, sleep

NeuroSuites: An online platform for running neuroscience, statistical, and machine learning tools.
In Frontiers in neuroinformatics
Moreno-Rodríguez José Luis, Larrañaga Pedro, Bielza Concha
2023
Bayesian networks, machine learning, neuroscience, statistical analysis, supervised classification, unsupervised classification, web application
Deep-learning based quantification model for hip bone marrow edema and synovitis in patients with spondyloarthritis based on magnetic resonance images.
In Frontiers in physiology
Zheng Yan, Bai Chao, Zhang Kui, Han Qing, Guan Qingbiao, Liu Ying, Zheng Zhaohui, Xia Yong, Zhu Ping
2023
deep learning, hip, magnetic resonance imaging, spondyloarthritis, synovitis
Computerization of the Work of General Practitioners: Mixed Methods Survey of Final-Year Medical Students in Ireland.
In JMIR medical education
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
Blease Charlotte, Kharko Anna, Bernstein Michael, Bradley Colin, Houston Muiris, Walsh Ian, D Mandl Kenneth
2023-Mar-20
COVID-19, artificial intelligence, biomedical, design, digital health, general practitioners, machine learning, medical education, medical professional, medical students, survey, technology, tool

Improving Resource Utilization for Arthroplasty Care by Leveraging Machine Learning and Optimization: A Systematic Review.
In Arthroplasty today
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
Entezari Bahar, Koucheki Robert, Abbas Aazad, Toor Jay, Wolfstadt Jesse I, Ravi Bheeshma, Whyne Cari, Lex Johnathan R
2023-Apr
Artificial intelligence, Optimization, Predictive modeling, Surgical scheduling, Total hip arthroplasty, Total knee arthroplasty

Interpretation of Depression Detection Models via Feature Selection Methods.
In IEEE transactions on affective computing
Alghowinem Sharifa, Gedeon Tom, Goecke Roland, Cohn Jeffrey F, Parker Gordon
2023
datasets generalisation, depression detection, feature selection, multimodal analysis

Precision recruitment for high-risk participants in a COVID-19 cohort study.
In Contemporary clinical trials communications
BACKGROUND :
METHODS :