This study explores the integration of artificial intelligence (AI) and narrative medicine in health education for rehabilitation therapy, aiming to achieve more personalized and comprehensive rehabilitation support. The research encompasses three key aspects: 1) Leveraging machine learning to analyze patient data and deliver customized health guidance; employing natural language processing to enhance patient-physician communication and tailor educational content. 2) Integrating patients' personal narratives into health education design to deepen empathy and relevance. 3) Combining virtual reality and smart devices to craft immersive, interactive learning experiences, fostering heightened patient engagement and motivation. The findings underscore that integrating AI and narrative medicine significantly enhances the relevance and effectiveness of health education, bolstering patients' self-management capabilities, mental well-being, and comprehensive functional recovery, thereby presenting innovative prospects for clinical rehabilitation practice. In conclusion, the innovative amalgamation of AI and narrative medicine holds promise for delivering more individualized rehabilitation support with favorable clinical implications. Future research endeavors should focus on exploring novel rehabilitation models that synergize technological advancements with humanistic approaches to perpetually transform health education.