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

BACKGROUND: An artificial intelligence (AI) model using chest radiography (CXR) may provide good performance in making prognoses for COVID-19. OBJECTIVE: We aimed to develop and validate a prediction model using CXR based on an AI model and clinical variables to predict clinical outcomes in patients...

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Detalles Bibliográficos
Autores principales: Lee, Hyun Woo, Yang, Hyun Jun, Kim, Hyungjin, Kim, Ue-Hwan, Kim, Dong Hyun, Yoon, Soon Ho, Ham, Soo-Youn, Nam, Bo Da, Chae, Kum Ju, Lee, Dabee, Yoo, Jin Young, Bak, So Hyeon, Kim, Jin Young, Kim, Jin Hwan, Kim, Ki Beom, Jung, Jung Im, Lim, Jae-Kwang, Lee, Jong Eun, Chung, Myung Jin, Lee, Young Kyung, Kim, Young Seon, Lee, Sang Min, Kwon, Woocheol, Park, Chang Min, Kim, Yun-Hyeon, Jeong, Yeon Joo, Jin, Kwang Nam, Goo, Jin Mo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9937110/
https://www.ncbi.nlm.nih.gov/pubmed/36795468
http://dx.doi.org/10.2196/42717

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9937110/
https://www.ncbi.nlm.nih.gov/pubmed/36795468
http://dx.doi.org/10.2196/42717

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