With the rapid advancement of artificial intelligence (AI) technology, its application in the fields of sports and health promotion has become increasingly widespread, bringing revolutionary changes to areas such as sports training, performance analysis, health monitoring, and management. The application of AI not only enhances the efficiency of research and practice but also provides new possibilities for personalized services and precise interventions. This study aims to explore the impact of the AI era on sports and health promotion, analyzing its current applications and future development trends in these fields. Method: Literature Review: Systematically collect, organize, and analyze relevant literature to understand the current applications, development trends, and existing challenges of AI in sports and health promotion. Case Analysis: Select typical cases for in-depth analysis to explore the effectiveness and challenges of AI technology in specific sports training and health management applications. Empirical Research: Collect and analyze real-world data to validate the effectiveness and impact of AI technology in sports and health promotion. AI technology has achieved significant results in areas such as sports performance analysis, personalized training program development, and injury prevention and rehabilitation. technology assists in health data monitoring and analysis, disease prediction and prevention, and personalized health management by enabling real-time collection and analysis of users' physiological data. The use of AI technology has also raised a series of ethical issues, primarily concerning data privacy and security, algorithmic bias and fairness, and human-machine interaction and accountability. Multimodal data integration and intelligent analysis will become mainstream, allowing AI systems to provide more comprehensive and accurate analysis and predictions. The integration of virtual reality (VR) and augmented reality (AR) technologies with AI will become a core component of future health management. In the field of sports, AI technology demonstrates significant potential in areas such as performance analysis, personalized training, and injury prevention. In health promotion, AI-driven health monitoring, disease prediction, and personalized management are transforming traditional health management models. However, the application of these technologies also brings ethical challenges related to data privacy, algorithmic bias, and accountability, which require collective efforts to address.
Pang et al. (2026) studied this question.