Marathon Without a Finish Line: A Learner’s Perspective on AI in Medical Education

Abstract

Artificial intelligence (AI) is rapidly evolving and increasingly being integrated into health care. Medical students and residents must develop a foundational understanding of AI's applications and implications for their education and training, professional practice, and the health of their patients. In this commentary, the author, a current MD/PhD student, calls for the inclusion of AI in educational programming and suggests approaches to 5 inherent tensions in efforts to develop AI curricula. Curricula should not fixate on any one tool or technology; however, a core AI curriculum should provide all students and residents with the needed AI literacy and skills, enabling graduates to engage with, question, and responsibly use AI tools in their clinical practice. Learners also should be offered opportunities that prepare them for a variety of roles ranging from users to developers of AI models. Institutional differences in AI resources and expertise pose a challenge, underscoring the importance of unifying national modules and coproduction of curriculum with interested learners who have AI experience. Finally, all AI curricula must promote among developers and users an awareness of ethical principles when contextualizing and evaluating AI models.

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