RÉSUMÉ
Artificial Intelligence (AI) is redefining electrocardiogram (ECG) analysis in pre-participation examination (PPE) of athletes, enhancing the detection and monitoring of cardiovascular health. Cardiovascular concerns, including sudden cardiac death, pose significant risks during sports activities. Traditional ECG, essential yet limited, often fails to distinguish between benign cardiac adaptations and serious conditions. This narrative review investigates the application of machine learning (ML) and deep learning (DL) in ECG interpretation, aiming to improve the detection of arrhythmias, channelopathies, and hypertrophic cardiomyopathies. A literature review over the past decade, sourcing from PubMed and Google Scholar, highlights the growing adoption of AI in sports medicine for its precision and predictive capabilities. AI algorithms excel at identifying complex cardiac patterns, potentially overlooked by traditional methods, and are increasingly integrated into wearable technologies for continuous monitoring. Overall, by offering a comprehensive overview of current innovations and outlining future advancements, this review supports sports medicine professionals in merging traditional screening methods with state-of-the-art AI technologies. This approach aims to enhance diagnostic accuracy and efficiency in athlete care, promoting early detection and more effective monitoring through AI-enhanced ECG analysis within athlete PPEs.
RÉSUMÉ
Sports medicine is a medical specialty that supports the performance of professional and amateur athletes while maintaining their health. Sports medicine professionals need to ensure the safe participation of athletes in sports activities achieved through a periodical preparticipation evaluation (PPE) and a regular medical monitoring of the athletes' health in accordance with the latest recommendations regarding health condition and medical history, physical working capacity, training period and programme, recovery, nutrition, use of supplements, injuries prevention and safe return to play. In order to harmonise these national variations in the content and application of the PPE, the EFSMA Scientific and Educational Commission proposes a 'gold standard' for elite athletes across Europe. Important objectives of PPE are early detection and prevention of severe complications during sports activities both in leisure time and competitive sports. The PPE should entail the following diagnostic components: health status, anthropometry, functional and exercise capacity. It is of utmost importance to develop and implement preventive strategies such as the PPE. Besides monitoring the health status of athletes, the PPE plays an important role in the selection process, bringing valuable information for coaches and supporting a personalised treatment approach. Screening of athletes through a standardised digital PPE could be beneficial for a better understanding of the impact of long-term physical activity. Furthermore, PPE leads the scientific community to a way of working closer together in the interest of the athletes.
