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Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study.
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.
Affiliation
  • Lee HW; Division of Respiratory and Critical Care, Department of Internal Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Republic of Korea.
  • Yang HJ; College of Medicine, Seoul National University, Seoul, Republic of Korea.
  • Kim H; College of Medicine, Seoul National University, Seoul, Republic of Korea.
  • Kim UH; College of Medicine, Seoul National University, Seoul, Republic of Korea.
  • Kim DH; Department of Radiology, Seoul National University Medical Research Center, Seoul, Republic of Korea.
  • Yoon SH; AI Graduate School, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea.
  • Ham SY; College of Medicine, Seoul National University, Seoul, Republic of Korea.
  • Nam BD; Department of Radiology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Republic of Korea.
  • Chae KJ; College of Medicine, Seoul National University, Seoul, Republic of Korea.
  • Lee D; Department of Radiology, Seoul National University Medical Research Center, Seoul, Republic of Korea.
  • Yoo JY; Department of Radiology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
  • Bak SH; Department of Radiology, Soonchunhyang University Seoul Hospital, Soonchunhyang University College of Medicine, Seoul, Republic of Korea.
  • Kim JY; Department of Radiology, Research Institute of Clinical Medicine, Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea.
  • Kim JH; Department of Radiology, Dankook University Hospital, Cheonan, Republic of Korea.
  • Kim KB; Department of Radiology, Chungbuk National University Hospital, Cheongju, Republic of Korea.
  • Jung JI; Department of Radiology, Kangwon National University Hospital, Kangwon National University School of Medicine, Chuncheon, Republic of Korea.
  • Lim JK; Department of Radiology, Keimyung University Dongsan Hospital, Keimyung University School of Medicine, Daegu, Republic of Korea.
  • Lee JE; Department of Radiology, Chungnam National University Hospital, College of Medicine, Daejeon, Republic of Korea.
  • Chung MJ; Department of Radiology, Daegu Fatima Hospital, Daegu, Republic of Korea.
  • Lee YK; Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
  • Kim YS; Department of Radiology, Kyungpook National University Hospital, School of Medicine, Kyungpook National University, Daegu, Republic of Korea.
  • Lee SM; Department of Radiology, Chonnam National University Hospital, Gwangju, Republic of Korea.
  • Kwon W; Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
  • Park CM; Department of Radiology, Seoul Medical Center, Seoul, Republic of Korea.
  • Kim YH; Department of Radiology, Yeungnam University Hospital, Yeungnam University College of Medicine, Daegu, Republic of Korea.
  • Jeong YJ; Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
  • Jin KN; Department of Radiology, Ewha Womans University Seoul Hospital, Seoul, Republic of Korea.
  • Goo JM; College of Medicine, Seoul National University, Seoul, Republic of Korea.
J Med Internet Res ; 25: e42717, 2023 02 16.
Article in En | MEDLINE | ID: mdl-36795468
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Respiratory Distress Syndrome / Deep Learning / COVID-19 Type of study: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: J Med Internet Res Year: 2023 Document type: Article
Fulltext
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XML
PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Respiratory Distress Syndrome / Deep Learning / COVID-19 Type of study: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: J Med Internet Res Year: 2023 Document type: Article