Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/77164, first published .
Artificial Intelligence–Based Electrocardiogram Model as a Predictor of Postoperative Atrial Fibrillation Following Cardiac Surgery: Retrospective Cohort Study

Artificial Intelligence–Based Electrocardiogram Model as a Predictor of Postoperative Atrial Fibrillation Following Cardiac Surgery: Retrospective Cohort Study

Artificial Intelligence–Based Electrocardiogram Model as a Predictor of Postoperative Atrial Fibrillation Following Cardiac Surgery: Retrospective Cohort Study

Changho Han   1 * , MD, PhD ;   Sarah Soh   2, 3 * , MD, PhD ;   Je-Wook Park   4 * , MD ;   Hui-Nam Pak   5 , MD, PhD ;   Dukyong Yoon   1, 3, 6 , MD, PhD

1 Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Yongin, Republic of Korea

2 Department of Anesthesiology and Pain Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea

3 Institute for Innovation in Digital Healthcare, Yonsei University, Seoul, Republic of Korea

4 Division of Cardiology, Department of Internal Medicine, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Republic of Korea

5 Division of Cardiology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea

6 Center for Digital Health, Yongin Severance Hospital, Yonsei University Health System, Yongin, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Dukyong Yoon, MD, PhD
  • Department of Biomedical Systems Informatics
  • Yonsei University College of Medicine
  • 331 Dongbaekjukjeon-daero, Giheung-gu
  • Yongin 16995
  • Republic of Korea
  • Phone: 82 3151898450
  • Email: dukyong.yoon@yonsei.ac.kr