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

Clinical Informatics (1444) Machine Learning (2229) Cardiac Arrhythmia, Atrial Fibrillation (116) Artificial Intelligence (2346) Clinical Information and Decision Making (2068) Artificial Intelligence in Surgery and Perioperative Medicine (49)

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

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 (1) 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 View