Korean Journal of Radiology

  • 제22권11호
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  • Pages.1743-1748
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  • 2021
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  • 1229-6929(pISSN)
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  • 2005-8330(eISSN)
대한영상의학회 (The Korean Society of Radiology)
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Use of Artificial Intelligence-Based Software as Medical Devices for Chest Radiography: A Position Paper from the Korean Society of Thoracic Radiology

  • Eui Jin Hwang (Department of Radiology, Seoul National University Hospital) ;
  • Jin Mo Goo (Department of Radiology, Seoul National University Hospital) ;
  • Soon Ho Yoon (Department of Radiology, Seoul National University Hospital) ;
  • Kyongmin Sarah Beck (Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea) ;
  • Joon Beom Seo (Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine) ;
  • Byoung Wook Choi (Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine) ;
  • Myung Jin Chung (Department of Radiology and Medical AI Research Center, Samsung Medical Center, Sungkyunkwan University School of Medicine) ;
  • Chang Min Park (Department of Radiology, Seoul National University Hospital) ;
  • Kwang Nam Jin (Department of Radiology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center) ;
  • Sang Min Lee (Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine)
  • 투고 : 2021.07.05
  • 심사 : 2021.07.07
  • 발행 : 2021.11.01
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This article is simultaneously published in Journal of the Korean Society of Thoracic Radiology in Korean.

참고문헌

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