Technology Category
Humans and AI: AI for AccessibilityPhilosophy and Ethics of AI: Safety, Robustness & TrustworthinessMultiagent Systems: Agent/AI Theories and Architectures
AI-PACE: A Framework for Integrating AI into Medical Education
🤖 AI Summary
Current medical education lacks a systematic integration of artificial intelligence (AI) competency development, limiting its capacity to respond to the rapid advancement of AI in healthcare. This study addresses this gap by conducting a systematic literature review and proposing the first comprehensive AI integration framework spanning the entire continuum of medical education. The framework emphasizes longitudinal curriculum design, interdisciplinary collaboration, and the seamless fusion of technical knowledge with clinical application. It delineates core AI literacy competencies for medical students, outlines stage-specific curricular pathways, and provides actionable implementation strategies. By establishing AI proficiency as a core component of medical competence, this work offers medical education institutions worldwide a practical and scalable guide for embedding AI education into their programs.
Technology Category
Application Category
📝 Abstract
The integration of artificial intelligence (AI) into healthcare is accelerating, yet medical education has not kept pace with these technological advancements. This paper synthesizes current knowledge on AI in medical education through a comprehensive analysis of the literature, identifying key competencies, curricular approaches, and implementation strategies. The aim is highlighting the critical need for structured AI education across the medical learning continuum and offer a framework for curriculum development. The findings presented suggest that effective AI education requires longitudinal integration throughout medical training, interdisciplinary collaboration, and balanced attention to both technical fundamentals and clinical applications. This paper serves as a foundation for medical educators seeking to prepare future physicians for an AI-enhanced healthcare environment.
Problem
Research questions and friction points this paper is trying to address.
AI in medical education
curriculum integration
medical training
artificial intelligence
healthcare education
Innovation
Methods, ideas, or system contributions that make the work stand out.
AI integration
medical education
curriculum framework
interdisciplinary collaboration
longitudinal learning
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