AI-PACE synthesizes literature to propose a framework for integrating AI into medical education across the learning continuum. It identifies key competencies, curricular approaches, and strategies emphasizing longitudinal integration and interdisciplinary collaboration. The framework balances technical fundamentals with clinical applications to prepare physicians for AI-enhanced healthcare.
Key Points
- 1.Key AI competencies identified
- 2.Longitudinal curriculum integration
- 3.Interdisciplinary collaboration emphasized
Impact Analysis
Standardizes AI training in medicine, equipping future doctors with essential skills for AI-driven healthcare environments. Bridges education gap amid rapid AI advancements.