biostudies-literatureUnknown39(6)Kapusniak A<h4>Background</h4>Artificial intelligence (AI) is increasingly used to enhance electrocardiogram (ECG) interpretation in human medicine. In equine athletes, exercise-associated arrhythmias are common and linked to sudden cardiac death at rates higher than in humans. However, ECG interpretation in horses remains time-consuming and subjective, with the clinical relevance of mild rhythm disturbances often unclear.<h4>Objectives</h4>Evaluate the application of AI to ECG interpretation for arrhythmia detection, with emphasis on current and potential use in athletic species, particularly horses.<h4>Animals</h4>About 17 studies were included: 13 involving humans, 3 in horses, and 1 in dogs.<h4>Methods</h4>A scoping review of relevant, peer-reviewed studies published between 2000 and 2024 was conJournal of veterinary internal medicinee70257https://www.ebi.ac.uk/biostudies/studies/S-EPMC12477403biostudies-literatureUse of Artificial Intelligence to Detect Cardiac Rhythm Disturbances in Athletes: A Scoping Review.PMC12477403Bailey SNath LFranklin SHitchens PLLara NMKapusniak AfalseUse of Artificial Intelligence to Detect Cardiac Rhythm Disturbances in Athletes: A Scoping Review.<h4>Background</h4>Artificial intelligence (AI) is increasingly used to enhance electrocardiogram (ECG) interpretation in human medicine. In equine athletes, exercise-associated arrhythmias are common and linked to sudden cardiac death at rates higher than in humans. However, ECG interpretation in horses remains time-consuming and subjective, with the clinical relevance of mild rhythm disturbances often unclear.<h4>Objectives</h4>Evaluate the application of AI to ECG interpretation for arrhythmia detection, with emphasis on current and potential use in athletic species, particularly horses.<h4>Animals</h4>About 17 studies were included: 13 involving humans, 3 in horses, and 1 in dogs.<h4>Methods</h4>A scoping review of relevant, peer-reviewed studies published between 2000 and 2024 was con2025-01-01T00:00:00Z2025 Nov-Dec2026-06-03T23:12:27.812Z2026-05-02T03:11:49.973ZS-EPMC124774034101727710.1111/jvim.70257