Artificial Intelligence (AI) is increasingly being leveraged in the sports industry to augment injury prevention strategies through diverse techniques such as injury risk evaluation and performance forecasting. AI methodologies are employed in team-based sports including soccer, basketball, American football, Australian football, and handball for the purpose of assessing injury risk. In contrast, sports like basketball, soccer, and volleyball primarily utilize algorithms designed for predicting performance. Machine learning algorithms scrutinize sensor data to anticipate and avert injuries among athletes by tracking elements like exertion levels and training loads. AI also contributes to the rehabilitation process following sports injuries by streamlining administrative tasks, assisting with injury diagnosis, offering precise advice, and recommending exercise regimes customized to individual requirements. Machine learning techniques are utilized to enhance prediction and prevention of injuries in sports by examining extensive datasets to pinpoint risk factors and devise systematic strategies for preventing injuries. The role of AI in sports is swiftly evolving, providing invaluable insights for coaches, athletes, and healthcare professionals to boost performance while minimizing injury risks.
