With the rapid advancement of artificial intelligence (AI) technologies, Motor Therapy—an interdisciplinary field integrating medicine, rehabilitation, and exercise science—has entered a critical stage of curriculum restructuring. AI has introduced a wide range of innovative instructional tools and practical applications into the design of Motor Therapy courses, thereby accelerating the transformation and enhancement of educational models. However, the integration of AI also presents several challenges, including issues related to data security and privacy protection, the establishment of ethical guidelines, and the need to adapt teaching content and pedagogical approaches to new technological contexts.This paper provides a systematic review of the current applications of AI in Motor Therapy education, analyzes its advantages and potential barriers, and proposes strategies and pathways for future curriculum reconstruction based on the latest research evidence. By examining the reform of Motor Therapy curricula empowered by AI, this study aims to offer theoretical foundations and practical guidance for the digital transformation of rehabilitation education and to promote continuous development and innovation in this field.