In recent years, the deep integration of artificial intelligence (AI) and machine learning (ML) technologies is reshaping the research and practice boundaries of sports science. AI and ML have great promise as injury prediction and prevention in the field of sports, and have potential in technology in sports performance, personalized training and treatment. Using literature and comparative visualization, this paper systematically examined the application progress of AI and ML in sports injury risk warning and competitive performance optimization and also studied the challenges faced by AI and ML in the current sports application field, as well as future coping strategies. AI provides athletes with personalized injury prevention and monitoring; Obtain data with the help of sensors and improve training with data visualization. Use AI and ML to improve the accuracy of damage prediction and performance accuracy. This article introduces the concepts of AI and ML, summarizes the latest progress in the application of AI technology in sports science, and clarifies the application of AI systems to sports injury prevention and monitoring, but still faces some ethical issues and challenges, which need additional research.
Xing Gao (Thu,) studied this question.