The University of Michigan Medical School integrates AI technology into medical education. It has established an interdisciplinary team of experts from various fields, including scholars in clinical practice, IT, and educational assessment. Their goal is to embed AI into teaching, learning, and evaluation processes by jointly planning and implementing a series of innovative pilot projects, thus clarifying AI’s multiple roles in medical education and assessment. Committed to Diversity, Equity, Inclusion, and Justice (DEIJ), the initiative ensures ethical and equitable AI usage in education. A key objective is to pinpoint gaps in AI knowledge and skills among medical students and teachers. A comprehensive evaluation of the existing educational framework is essential to identify areas where AI skills development can be enhanced. Following this evaluation, the initiative seeks to establish a regulatory body that will guide and oversee the incorporation and use of AI in medical education.

In addition, the initiative has created a robust suite of resources and a versatile platform for sharing AI usage guidelines, best practices, and teaching materials, thereby ensuring effective and ethical AI applications in academic settings. It has also developed a series of educational programs that incorporate AI to improve teaching and learning models. For example, smart flashcards utilize AI algorithms to tailor learning materials and review schedules to individual students, enhancing their learning efficiency and retention. Meanwhile, generative modules allow students to interact with AI to explore different solutions, thereby extending the breadth and depth of learning. As the interdisciplinary team keeps refining their theoretical and practical approaches, the initiative is able to keep pace with the fast-evolving AI landscape. Through the strategic implementation of AI, the University of Michigan Medical School has not only established itself as a leader in innovative medical education but also prepared future healthcare professionals to thrive in a digitized and data-centric world.