Diagnostic effect of artificial intelligence solution for referable thoracic abnormalities on chest radiography: a multicenter respiratory outpatient diagnostic cohort study.

Abstract

Authors

• Kwang Nam Jin
  Department of Radiology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, South Korea.
• Eun Young Kim
  Department of Surgery, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.
• Young Jae Kim
  Department of Biomedical Engineering, College of Medicine, Gachon University, Gyeonggi-do, Republic of Korea.
• Gi Pyo Lee
  Department of Biomedical Engineering, Gachon University College of Medicine, Incheon, South Korea.
• Hyungjin Kim
  Department of Radiology, Seoul National College of Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea (H.C., S.H.Y., S.J.P., C.M.P., J.H.L., H. Kim, E.J.H., S.J.Y., J.G.N., C.H.L., J.M.G.); CHESS Center, The First Hospital of Lanzhou University, Lanzhou, China (Q.X., J.L.); Department of Radiology, Seoul National University Bundang Hospital, Gyeonggi-do, Korea (K.H.L.); Department of Internal Medicine, Incheon Medical Center, Incheon, Korea (J.Y.K.); Department of Radiology, Seoul Medical Center, Seoul, Korea (Y.K.L.); Department of Radiology, National Medical Center, Seoul, Korea (H. Ko); Department of Radiology, Myongji Hospital, Gyeonggi-do, Korea (K.H.K.); and Department of Radiology, Chonnam National University Hospital, Gwanju, Korea (Y.H.K.).
• Sohee Oh
  Department of Biostatistics, Seoul National University College of Medicine and SMG-SNU Boramae Medical Center, Seoul, Korea.
• Yong Suk Kim
  Department of Medical Artificial Intelligence, Konyang University, Daejeon, Korea.
• Ju Hyuck Han
  Department of Medical Engineering, Konyang University, Daejeon, Korea.
• Young Jun Cho
  Department of Radiology, Konyang University Hospital, Daejeon, South Korea.

Keywords

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