@article{b990bbd15701459a870d042479e2882f,
title = "Generalizability of Deep Learning Tuberculosis Classifier to COVID-19 Chest Radiographs: New Tricks for an Old Algorithm?",
keywords = "COVID-19, artificial intelligence, coronavirus, deep learning, pneumonia",
author = "Yi, {Paul H.} and Kim, {Tae Kyung} and Lin, {Cheng Ting}",
note = "Funding Information: From the *Radiology AI Lab (RAIL), Malone Center for Engineering in Healthcare, Johns Hopkins University Whiting School of Engi-neering; and †The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD. Work described in this study was supported by a Radiological Society of North America R&E Foundation grant (RMS1816 to T.K.K.). The authors declare no conflicts of interest Correspondence to: Paul H. Yi, MD, 601 N Caroline Street, Baltimore, MD 21287 (e-mail: pyi10@jhmi.edu). Copyright {\textcopyright} 2020 Wolters Kluwer Health, Inc. All rights reserved. DOI: 10.1097/RTI.0000000000000532",
year = "2020",
month = jul,
day = "1",
doi = "10.1097/RTI.0000000000000532",
language = "English (US)",
volume = "35",
pages = "W102--W104",
journal = "Journal of thoracic imaging",
issn = "0883-5993",
publisher = "Lippincott Williams and Wilkins",
number = "4",
}