[Current status, challenges, and high-quality development pathways for the integration of artificial intelligence and...

The deep integration of artificial intelligence (AI) is driving a profound transformation in the research paradigm of sports medicine. This article systematically reviewed the primary models of AI-sports medicine integration, including intelligent early warning for sports injury risks, intelligent diagnosis of musculoskeletal health issues, intelligent assistance of surgeries, and intelligent prediction of patient prognosis. It further analyzed the key challenges hindering deep integration, covering technical bottlenecks and data barriers, patient privacy and health equity risks, as well as the lack of regulatory and health insurance mechanisms. On this basis, systematic pathways for promoting high-quality development were proposed, including strengthening a clinical value-oriented technology research and development and transformation system, building a full-cycle data security and ethical governance framework for technologies, and improving value-based payment mechanisms and policy support environments. Through multi-dimensional and coordinated advancement, the potential of AI-sports medicine integration could be fully unleashed, achieving a leap from technological empowerment to health value creation, thereby providing robust support for the implementation of the"Healthy China 2030"strategy.