Machine Learning in the Field of Sports Medicine and Rehabilitation Science.

This study examines the application of advanced machine learning (ML) and artificial intelligence (AI) technologies to enhance athletic performance and predict injuries across various sports. By leveraging big data and complex analytical models, ML algorithms can identify key patterns for injury prediction, as well as optimize training and rehabilitation strategies. AI has been used to develop mathematical models for injury risk assessment in team sports such as football, basketball, and volleyball. Machine learning also plays a crucial role in refining movement techniques and shot execution, for instance, in tennis. Additionally, ML improves sports performance forecasting and optimizes athlete training, assisting coaches and medical professionals in making more informed decisions. AI technologies demonstrate significant potential in the detection and analysis of electrocardiographic (ECG) data interpretation, including the identification of life-threatening conditions.