Why the study?
ECG interpretation in athletes remains complex due to sport-specific, gender-based, and age-related variations, with persistent high false-positive rates highlighting the need for refined guidelines.
ECG screening in athletes is complicated by sport, age, and gender variations leading to high false-positive rates, which may be mitigated by refined guidelines and AI technology.
Calls for immediate refinement of athlete ECG guidelines; extends systematic evidence supporting AI to improve accuracy.
This review emphasizes the complexity of ECG interpretation in athletes, highlighting sport-specific, gender-based, and age-related variations. The persistent high false-positive rates underscore the need for refined, sport-specific ECG guidelines. Recent recognition of sports medicine as a primary specialty within the European Union (EU) reinforces the importance of comprehensive physician training. Integrating artificial intelligence (AI) technology into ECG screening can enhance diagnostic accuracy, reduce costs, and facilitate large-scale implementation. Meanwhile, collaborative efforts among clinicians, researchers, and policymakers are essential to developing cost-effective and standardized ECG screening protocols, ensuring improved athlete care, and advancing the field of sports cardiology.
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Caramoci et al. (2025) studied this question.
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