Artificial Intelligence in Undergraduate Medical Education: Enhancing Teaching and Learning in Medical Colleges

Abstract

Artificial intelligence is changing medical education by providing innovative tools that improve teaching and learning. The paper presents AI applications in medical colleges that have specific focuses on personalized learning, clinical simulation, assessment, and faculty development. A mixed-method study of the Pakistani context highlights some opportunities and challenges for the adoption of AI: financial and infrastructural constraints and cultural resistance. The data was collected from one hundred undergraduate medical students and twenty faculty members engaged in medical teaching at Khyber Medical University medical colleges by an online survey and interviews by an expert-validated questionnaire (both structured and open-ended) following the pilot study. The findings from the study showed that the AI tools, personalized learning platforms, and assessment systems had high feasibility with great potential for improvement in quality. This includes leveraging open-source tools, building local expertise, and fostering partnerships as ways of ensuring sustainable integration of AI.