The Application of Generative Artificial Intelligence in Medical Education in Higher Education: A Theoretical Exploration of Enhancing Medical Students’Tolerance for Uncertainty

Chao Yu （ Yichun University, Yichun, Jiangxi, 336000, China ）

Mei-Lan Deng （ Yichun Experimental Primary School, Yichun, Jiangxi, 336000, China ）

Abstract

In the complex and uncertain clinical environment, enhancing medical students' tolerance for uncertainty has become a key challenge in medical education. This study, through a literature review and theoretical analysis, explores how generative artifcial intelligence (AI) can assist medical students in better coping with uncertainty in simulated clinical scenarios, personalized learning paths, and real-time decision support. The findings indicate that generative AI plays a significant role in improving students' cognitive responses and emotional regulation, enhancing their confidence and ability to make decisions in complex situations, thereby increasing their tolerance for uncertainty.

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