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Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study.

Hyun Woo LeeHyun Jun YangHyung Jin KimUe-Hwan KimDong Hyun KimSoon-Ho YoonSoo Youn HamBo Da NamKum Ju ChaeDabee LeeJin-Young YooSo Hyeon BakJin Young KimJin Hwan KimKi Beom KimJung Im JungJae-Kwang KimJong Eun LeeMyung Jin ChungYoung Kyung LeeYoung-Seon KimSang Min LeeWoocheol KwonChang Min ParkYun Hyeon KimYeon-Joo JeongKwang Nam JinJin Mo Goo
Published in: Journal of medical Internet research (2023)
The combined prediction model, comprising the CXR score and clinical information, was externally validated as having acceptable performance in predicting severe illness and excellent performance in predicting ARDS in patients with COVID-19.
Keyphrases
  • deep learning
  • acute respiratory distress syndrome
  • extracorporeal membrane oxygenation
  • early onset
  • mechanical ventilation
  • artificial intelligence
  • health information