[Artificial intelligence empowering sports medicine]

The rapid advancement of artificial intelligence (AI) technologies, particularly deep learning algorithms and hardware devices, has profoundly transformed diagnostic and therapeutic paradigms in sports medicine. This article reviews the applications and recent progress of AI across multiple domains in the field, including the use of deep learning and machine learning models for injury risk prediction and early screening; the application of computer vision techniques in imaging diagnosis; the integration of intelligent algorithms into surgical planning and intraoperative assistance; the dynamic monitoring of rehabilitation processes; and the deployment of large language models to support patient education and consultation. The deep integration of sports medicine and AI requires interdisciplinary collaboration across clinical medicine, sports science, materials science, and computer science. This article highlights the current applications, discusses existing challenges and potential risks, and provides an outlook on future development trends.