Open AccessMulti-population generalizability of a deep learning-based chest radiograph severity score for COVID-19
Author(s) -
Matthew Li,
Nishanth Arun,
Mehak Aggarwal,
Sharut Gupta,
Praveer Singh,
Brent P. Little,
Dexter P. Mendoza,
Gustavo C.A. Corradi,
Marcelo S. Takahashi,
Suely Fazio Ferraciolli,
Marc D. Succi,
Min Lang,
Bernardo C. Bizzo,
Ittai Dayan,
Felipe Kitamura,
Jayashree Kalpathy–Cramer
Publication year - 2022
Publication title -
medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.59
H-Index - 148
eISSN - 1536-5964
pISSN - 0025-7974
DOI - 10.1097/md.0000000000029587
Subject(s) - medicine , generalizability theory , chest radiograph , emergency department , covid-19 , deep learning , emergency medicine , receiver operating characteristic , severity of illness , radiography , artificial intelligence , disease , radiology , statistics , mathematics , infectious disease (medical specialty) , psychiatry , computer science