A Historically Informed Developmental Trajectory for Medical Education Reform in the Age of AI

Abstract

Artificial intelligence (AI) is reshaping how biomedical knowledge is accessed, synthesized, and applied, raising important questions about the cognitive competencies medical education should cultivate. Although these concerns appear new, educational institutions have previously confronted similar disruptions when emerging technologies altered relationships among knowledge, expertise, and learning. Using a historical-comparative design informed by institutional adaptation theory, this article analyzes recurring patterns in educational responses to technological innovation across six dimensions: institutional resistance, pedagogical positioning, faculty gatekeeping, curricular reform, assessment transformation, and equity of access. The analysis suggests that technological integration in education tends to proceed through identifiable stages, beginning with resistance and concern about skill erosion, followed by supplemental integration, pedagogical reorientation, and eventual curricular adaptation. Based on these patterns, the article proposes a developmental trajectory model for integrating AI into professional education and suggests that medical education currently stands between supplemental integration and early pedagogical reorientation. Meaningful AI integration will require curricular reform, revised assessment models, faculty development, and governance frameworks for responsible use.

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