This paper systematically explores the integration pathways, challenges, and future directions of artificial intelligence (AI) technology and narrative medicine in pediatric medical education. Due to the unique characteristics of the pediatric population, pediatric diagnosis and treatment place higher demands on physicians' empathy, communication skills, and humanistic qualities. Narrative medicine, as a key paradigm to address deficiencies in medical humanities, provides a theoretical framework and practical methods for cultivating these core humanistic qualities. However, its teaching promotion and practice face challenges such as insufficient scaling, lack of standardization, and limited depth of feedback. Advances in AI technology, particularly in natural language processing and generative AI, offer new opportunities to overcome these challenges. Based on a systematic literature review, relevant theories, research methods, and practical outcomes of the integration between AI and narrative medicine are synthesized, and a three-stage integration model of "independent development - skill empowerment - collaborative deepening" is constructed. The integration process faces significant challenges including technical ethics, educational integration, and value alienation. Finally, a new paradigm for future pediatric medical education centered on "human-machine collaboration" is proposed, aiming to cultivate the next generation of pediatricians who possess excellent technical skills, profound empathy, and resilient professional spirit, thereby opening new perspectives.