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

Hyun Woo Lee Hyun Jun Yang Hyung Jin Kim Ue-Hwan Kim Dong Hyun Kim Soon-Ho Yoon Soo Youn Ham Bo Da Nam Kum Ju Chae Dabee Lee Jin-Young Yoo So Hyeon Bak Jin Young Kim Jin Hwan Kim Ki Beom Kim Jung Im Jung Jae-Kwang Kim Jong Eun Lee Myung Jin Chung Young Kyung Lee Young-Seon Kim Sang Min Lee Woocheol Kwon Chang Min Park Yun Hyeon Kim Yeon-Joo Jeong Kwang Nam Jin Jin 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
machine learning
artificial intelligence
convolutional neural network
healthcare
intensive care unit
social media