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Predicting PAMPA permeability using the 3D-RISM-KH theory: are we there yet?
In Journal of computer-aided molecular design
Roy Dipankar, Dutta Devjyoti, Wishart David S, Kovalenko Andriy
2021-Jan-04
3D-RISM-KH, Classification, Machine learning, Molecular solvation theory, PAMPA
A diagnostic strategy for Parkinsonian syndromes using quantitative indices of DAT SPECT and MIBG scintigraphy: an investigation using the classification and regression tree analysis.
In European journal of nuclear medicine and molecular imaging ; h5-index 66.0
PURPOSE :
METHODS :
RESULTS :
CONCLUSION :
Iwabuchi Yu, Kameyama Masashi, Matsusaka Yohji, Narimatsu Hidetoshi, Hashimoto Masahiro, Seki Morinobu, Ito Daisuke, Tabuchi Hajime, Yamada Yoshitake, Jinzaki Masahiro
2021-Jan-03
123I-FP-CIT, 123I-Ioflupane, Artificial intelligence, CART, Data mining

Factors associated with rebound pain after peripheral nerve block for ambulatory surgery.
In British journal of anaesthesia ; h5-index 72.0
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
Barry Garrett S, Bailey Jonathan G, Sardinha Joel, Brousseau Paul, Uppal Vishal
2020-Dec-31
ambulatory surgical procedures, dexamethasone, pain management, peripheral nerve block, rebound pain, regional anaesthesia

Deep Phenotyping of Headache in Hospitalized COVID-19 Patients via Principal Component Analysis.
In Frontiers in neurology
Planchuelo-Gómez Álvaro, Trigo Javier, de Luis-García Rodrigo, Guerrero Ángel L, Porta-Etessam Jesús, García-Azorín David
2020
COVID-19, headache disorders, machine learning, migraine, tension-type headache

An efficient method for building a database of diatom populations for drowning site inference using a deep learning algorithm.
In International journal of legal medicine
Zhang Ji, Zhou Yuanyuan, Vieira Duarte Nuno, Cao Yongjie, Deng Kaifei, Cheng Qi, Zhu Yongzheng, Zhang Jianhua, Qin Zhiqiang, Ma Kaijun, Chen Yijiu, Huang Ping
2021-Jan-03
Convolutional neutral network, Deep learning, Diatom, Digital pathology, Drowning, Site of drowning

Artificial intelligence in emergency medicine: A scoping review.
In Journal of the American College of Emergency Physicians open
Introduction :
Methods :
Results :
Conclusion :
Kirubarajan Abirami, Taher Ahmed, Khan Shawn, Masood Sameer
2020-Dec
algorithm, artificial intelligence, artificial neural networks, emergency department, emergency medicine, machine learning, technology
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