Artificial Intelligence in Medical Education

This book provides a comprehensive, theoretically grounded framework for the most profound challenge facing medical education in the twenty-first century: the integration of Artificial Intelligence (AI). It bridges the gap between visionary works on the future of AI in clinical practice and the practical, on-the-ground needs of medical educators, providing a comprehensive, end-to-end roadmap. This book proposes a systematic journey through the entire educational continuum-from basic sciences to clinical rotations and assessment-all viewed through the single, coherent lens of its new model. This book serves as an essential resource for various audiences. For academic leaders and deans, this book provides a clear, strategic, and evidence-based roadmap to guide their institution's transformation, turning a daunting challenge into a manageable, structured process. For medical educators and faculty, it offers practical, actionable strategies and conceptual tools to update their courses, teaching methods, and assessments, empowering them in their daily work. For researchers and graduate students, it serves as a foundational theoretical text that defines the key challenges and opportunities in the field, providing a launchpad for a new generation of scholarly inquiry. Ultimately, this book serves as a guide for cultivating physicians whose uniquely human capacities for wisdom, empathy, and judgment are not replaced, but amplified and liberated by their partnership with artificial intelligence.