Use of Artificial Intelligence to Detect Cardiac Rhythm Disturbances in Athletes: A Scoping Review.

ABSTRACT:

Background

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.

Objectives

Evaluate the application of AI to ECG interpretation for arrhythmia detection, with emphasis on current and potential use in athletic species, particularly horses.

Animals

About 17 studies were included: 13 involving humans, 3 in horses, and 1 in dogs.

Methods

A scoping review of relevant, peer-reviewed studies published between 2000 and 2024 was con

SUBMITTER: Kapusniak A 

PROVIDER: S-EPMC12477403 | biostudies-literature | 2025 Nov-Dec

REPOSITORIES: biostudies-literature