Exploring Multi-Dimensional Innovations in Medical Education Models Empowered by Generative Artificial Intelligence: The Case of Innovation and Entrepreneurship Courses

Abstract

As an advanced frontier in artificial intelligence, generative AI offers unprecedented opportunities to transform medical education through its capabilities in content generation, simulated interaction, and personalized learning. Using innovation and entrepreneurship courses as a case study, this paper examines the multifaceted ways in which generative AI can drive pedagogical innovation in medical education. Our analysis shows that integrating generative AI into medical training not only strengthens students’ digital thinking skills but also facilitates the development of a digital teaching paradigm centered on intelligent interaction, thereby advancing the innovation and evolution of instructional content. Specifically, we first identify pathways for cultivating digital thinking among medical students in the AI era, focusing on reinforcement at three levels: course design, instructional processes, and practical application. Second, we outline the construction of a generative AI-centered digital teaching model, incorporating intelligent classroom environments, virtual scenario-based instruction, and dedicated spaces for applied learning. Finally, we propose strategies for innovating medical curricula by introducing emerging topics such as AI ethics and data privacy protection, thereby addressing the new challenges posed by the digital transformation of medical education. This study contributes both theoretical insight and practical guidance for the reform and advancement of medical education in the age of artificial intelligence.