AI-Enabled Integration of Sports and Medicine for Spinal Health Management in College Students

Abstract

This study focuses on the mechanism of integrating sports and medicine empowered by artificial intelligence (AI) technology for the spinal health management of college students. With increasing academic pressure, poor lifestyle habits, and lack of exercise, spinal health issues among college students have become increasingly prominent, and traditional management models are unable to meet the demands for personalized and precise care. This paper analyzes the current status and influencing factors of spinal health problems among college students, explores the application advantages of AI technology and the integration of sports and medicine in spinal health management, constructs a framework for the AI-empowered integration mechanism, and proposes specific implementation pathways and strategies to address challenges. The research finds that AI technology has advantages in data collection and analysis, intelligent diagnosis and prediction, and the formulation of personalized rehabilitation plans. The integration of sports and medicine can combine medical and sports resources to achieve a combination of prevention and treatment, enhancing the comprehensiveness and sustainability of health management. Through AI-empowered integration, medical and sports resources can be precisely matched, and real-time monitoring of students' rehabilitation training and dynamic adjustment of health management plans can be realized. The paper proposes countermeasures such as strengthening data security management, promoting technological standardization, increasing talent cultivation, and deepening institutional and mechanism reforms. This study provides theoretical support and practical references for improving the spinal health management level of college students and promotes the in-depth development of the integration of sports and medicine in the field of college health management.