Prediction of intradialytic hypotension using pre-dialysis features-a deep learning-based artificial intelligence model.

Journal: Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association
PMID: 37019834

Abstract

BACKGROUND: Intradialytic hypotension (IDH) is a serious complication of hemodialysis (HD) that is associated with increased risks of cardiovascular morbidity and mortality. However, its accurate prediction remains a clinical challenge. The aim of this study was to develop a deep learning-based artificial intelligence (AI) model to predict IDH using pre-dialysis features.

Authors

  • Hanbi Lee
    Transplantation Research Center, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
  • Sung Joon Moon
    The Department of Chemical and Biological Engineering, Princeton University, Princeton, NJ, 08544, USA.
  • Sung Woo Kim
    APEXAI Co., Ltd, Seongnam-si, Republic of Korea.
  • Ji Won Min
    Department of Internal Medicine, Bucheon St Mary's Hospital, College of Medicine, The Catholic University of Korea, Bucheon, Republic of Korea.
  • Hoon Suk Park
    Department of Internal Medicine, Eunpyeong St Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
  • Hye Eun Yoon
    Department of Internal Medicine, Incheon St Mary's Hospital, College of Medicine, The Catholic University of Korea, Incheon, Republic of Korea.
  • Young Soo Kim
    3 Department of Neurosurgery, School of Medicine, Hanyang University, Seoul, Korea.
  • Hyung Wook Kim
    Dae Gon Ryu, Hyung Wook Kim, Su Bum Park, Dae Hwan Kang, Cheol Woong Choi, Su Jin Kim, Hyeong Seok Nam, Department of Internal Medicine, Pusan National University School of Medicine and Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan 626-770, South Korea.
  • Chul Woo Yang
    Transplantation Research Center, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
  • Sungjin Chung
    Division of Nephrology, Department of Internal Medicine, Yeouido St Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
  • Eun Sil Koh
    Department of Rehabilitation Medicine, National Medical Center, Seoul, Korea.
  • Byung Ha Chung

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