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
Journals
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- 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
- Coelho H, Paupério D, Silva F, Barbosa M, Ribeiro P, Correia M, Rodrigues P. Multi-Output Machine Learning for Prediction of Postoperative Outcomes After Cardiac Surgery Using Patient Blood Management Biomarkers. Journal of Clinical Medicine 2026;15(11):4221 View
- Ghani M, Prasad A, Nagarajan J, Patel D, Desai R, Gnanaguruparan S, Chatterjee S. Artificial Intelligence and Biomarker-Driven Prediction of Post-CABG Atrial Fibrillation: Integrating Clinical, Genomic, and Metabolic Insights. Heart Rhythm O2 2026 View