Artificial intelligence (AI) is rapidly reshaping the design, functionality, and pedagogical potential of serious games in healthcare education. This chapter explores how AI technologies—particularly machine learning, natural language processing, and reinforcement learning—enable personalized learning experiences, adaptive scenario generation, and dynamic non-player character (NPC) behaviors within clinically relevant training environments. It further analyzes how AI-supported systems can foster the development of not only technical competencies but also critical soft skills such as empathy, ethical reasoning, and interprofessional communication. Drawing on cognitive apprenticeship, situated learning, and critical pedagogy, the chapter presents a multidimensional framework that integrates AI capabilities with established educational theories. Through case-based examples and theoretical mapping, it critically evaluates the opportunities and limitations of AI-enhanced serious games, emphasizing the need for ethical, learner-centered, and culturally sensitive design practices. The chapter concludes by outlining a future-oriented, AI-driven design pipeline that positions AI not merely as a technical engine, but as a pedagogical partner in healthcare training.