A deep-learning algorithm using real-time collected intraoperative vital sign signals for predicting acute kidney injury after major non-cardiac surgeries: A modelling study.

Abstract

Authors

• Sehoon Park
  Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea.
• Soomin Chung
  Interdisciplinary Program in Bioengineering, Seoul National University, Seoul, Korea.
• Yisak Kim
  From the Interdisciplinary Program in Bioengineering (Y.K., Y.S.) and Integrated Major in Innovative Medical Science (Y.K.), Seoul National University Graduate School, Seoul, Republic of Korea; Department of Radiology (Y.K.), Transdisciplinary Department of Medicine & Advanced Technology (Y.G.K., B.W.K., Y.S.), and Department of Internal Medicine (J.H.K., C.S.S.), Seoul National University Hospital, Seoul, Republic of Korea; Departments of Orthopaedic Surgery (J.W.P., Y.K.L.) and Internal Medicine (S.H.K.), Seoul National University Bundang Hospital, 82 Gumi-ro 173 Beon-gil, Bundang gu, Seongnam, Republic of Korea; Departments of Medicine (Y.G.K.) and Internal Medicine (S.H.K., J.H.K., S.W.K., C.S.S.), Seoul National University College of Medicine, Seoul, Republic of Korea; and Department of Internal Medicine, Seoul National University Boramae Hospital, Seoul, Republic of Korea (S.W.K.).
• Sun-Ah Yang
  Department of Transdisciplinary Medicine, Seoul National University Hospital, Seoul, Korea.
• Soie Kwon
  Department of Internal Medicine, Chung Ang University Hospital, Seoul, Korea.
• Jeong Min Cho
  Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea.
• Min Jae Lee
  KAIST: Korea Advanced Institute of Science and Technology, Daejeon, Korea.
• Eunbyeol Cho
  KAIST: Korea Advanced Institute of Science and Technology, Daejeon, Korea.
• Jiwon Ryu
  Biorobotics Laboratory, School of Mechanical and Aerospace Engineering, Seoul National University, Gwanak-ro 1, Gwanak-gu, Seoul 08826, Korea.
• Sejoong Kim
  Department of Internal Medicine, Seoul National University College of Medicine, 103 Daehakro, Jongno-gu, Seoul, 03080, South Korea. sejoong2@snu.ac.kr.
• Jeonghwan Lee
  Department of Mechanical and Aerospace Engineering, Seoul National University, Seoul, Republic of Korea.
• Hyung Jin Yoon
  Department of Biomedical Engineering, Seoul National University College of Medicine, Seoul, Korea. hjyoon@snu.ac.kr.
• Edward Choi
  College of Computing Georgia Institute of Technology Atlanta, GA, USA.
• Kwangsoo Kim
  Transdisciplinary Department of Medicine & Advanced Technology, Seoul National University Hospital, Seoul, Republic of Korea.
• Hajeong Lee
  Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea.

Keywords

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