Deep Learning ECG Evaluation and Clinical Assessment for Competitive Sport Eligibility

This observational study aims to develop and validate an artificial intelligence (AI) model that can analyze electrocardiograms (ECGs) to identify which athletes may have hidden cardiovascular disease that would make competitive sports unsafe. By training the model on ECG data from athletes who have already undergone standard cardiac evaluation, researchers hope to create a tool that can quickly and accurately flag those who need further testing. Male and female athletes aged 18–60 who are seeking cardiac clearance for competitive sports and have no known cardiovascular disease history may be eligible. Participation involves undergoing standard sports cardiology evaluation and having your ECG submitted to the AI model — no additional testing beyond usual care is required. This summary was generated by AI to help patients understand the study in plain language.