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This paper is in the following e-collection/theme issue:

Clinical Informatics (1509) Clinical Information and Decision Making (2159) Machine Learning (2323) Artificial Intelligence (2475) Cardiac Arrhythmia, Atrial Fibrillation (117) Artificial Intelligence in Surgery and Perioperative Medicine (54)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/77164, first published .
Holographic heart with glowing circuit lines and a doctor's hand in a surgical setting.

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

Authors of this article:

Changho Han1 Author Orcid Image ;   Sarah Soh2, 3 Author Orcid Image ;   Je-Wook Park4 Author Orcid Image ;   Hui-Nam Pak5 Author Orcid Image ;   Dukyong Yoon1, 3, 6 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Journals

  1. Campos-García M, Muñoz-Tovar R, León-Guerrero L, Trujillo-Ortiz F, Vega-Padilla J. EuroSCORE II y duración de la ventilación mecánica como predictores de fibrilación auricular posoperatoria en cirugía cardiaca: desarrollo del EVAF score. Cirugía Cardiovascular 2026;33(3):101 View
  2. Lu D, Wang R. Advances in the Diagnosis and Treatment of Cardiovascular Diseases and Their Impact on Perioperative Anesthetic Strategies. Asploro Journal of Biomedical and Clinical Case Reports 2026;9(2):93 View