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Updated: Oct 4, 2025

Catheter Ablation in Combination With Left Atrial Appendage Closure for Atrial Fibrillation
Published on: February 26, 2013
Artificial intelligence for the detection, prediction, and management of atrial fibrillation
Jonas L Isaksen1, Mathias Baumert2, Astrid N L Hermans3
1Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark.
Abstract:
The present article reviews the state of the art of machine learning algorithms for the detection, prediction, and management of atrial fibrillation (AF), as well as of the development and evaluation of artificial intelligence (AI) in cardiology and beyond. Today, AI detects AF with a high accuracy using 12-lead or single-lead electrocardiograms or photoplethysmography. The prediction of paroxysmal or future AF currently operates at a level of precision that is too low for clinical use. Further studies are needed to determine whether patient selection for interventions may be possible with machine learning.
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