Receive a weekly summary and discussion of the top papers of the week by leading researchers in the field.

Automation and deep (machine) learning in temporomandibular joint disorder radiomics. A systematic review.
In Journal of oral rehabilitation ; h5-index 33.0
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSION :
Farook Taseef Hasan, Dudley James
2023-Feb-26
CBCT, MRI, artificial intelligence, computer-assisted image interpretation, derangement, osteoarthritis
Understanding Covid-19 Mobility Through Human Capital: A Unified Causal Framework.
In Computational economics
Bilgel Fırat, Karahasan Burhan Can
2023-Feb-21
Causal structure discovery, Do-calculus, Instrumental variables, Machine learning, Sample selection, Workplace mobility

Use of artificial intelligence for the diagnosis of cholesteatoma.
In Laryngoscope investigative otolaryngology
OBJECTIVES :
STUDY DESIGN :
METHODS :
RESULTS :
CONCLUSION :
LEVEL OF EVIDENCE :
Tseng Christopher C, Lim Valerie, Jyung Robert W
2023-Feb
artificial intelligence, cholesteatoma, diagnosis, neural network, otoscopy

RF_phage virion: Classification of phage virion proteins with a random forest model.
In Frontiers in genetics ; h5-index 62.0
Zhang Yanqing, Li Zhiyuan
2022
bioinformatics, classification, machine learning, phage virion proteins, random forest
Visual Positioning of Nasal Swab Robot Based on Hierarchical Decision.
In Journal of Shanghai Jiaotong University (science)
Li Guozhi, Zou Shuizhong, Ding Shuxue
2023-Feb-21
hierarchical decision, nasal swab sampling, surgical robot, vision servo

Detecting depression of Chinese microblog users via text analysis: Combining Linguistic Inquiry Word Count (LIWC) with culture and suicide related lexicons.
In Frontiers in psychiatry
INTRODUCTION :
METHODS :
RESULTS :
DISCUSSION :
Lyu Sihua, Ren Xiaopeng, Du Yihua, Zhao Nan
2023
CES-D, depression, machine learning, microblogging, prediction, text mining
Weekly Summary
Receive a weekly summary and discussion of the top papers of the week by leading researchers in the field.