From Chalk to Silicon: A Practical Guide to Integrating AI in Medical Education
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Keywords
artificial intelligence, medical education, digital health, clinical training
Abstract
Medical education is experiencing a profound transformation driven by the integration of artificial intelligence (AI). The current information overload demands a shift from information-based medicine to knowledge management, with AI playing a pivotal role. This article provides a practical guide to incorporating AI across different stages of medical education, from class prepara- tion and material generation to seminars, workshops, evaluations, and supervised clinical practice. AI has demonstrated utility in creating realistic clinical cases, virtual patients, and customized educational resources, as well as in automated grading and rubric design. Additionally, integrating AI literacy into health curricula is essential for developing professionals who understand both its applications and ethical implications. The DEFT-AI model is proposed as a framework for supervised student interaction. Rather than replacing educators, AI should be viewed as a powerful tool to optimize learning, foster critical thinking, and prepare future healthcare professionals for an evolving, technology-driven world.
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