Integrating AI in medical education: a comprehensive study of medical students' attitudes, concerns, and behavioral intentions.

ABSTRACT:

Background

To analyze medical students' perceptions, trust, and attitudes toward artificial intelligence (AI) in medical education, and explore their willingness to integrate AI in learning and teaching practices.

Methods

This cross-sectional study was performed with undergraduate and postgraduate medical students from two medical universities in Beijing. Data were collected between October and early November 2024 via a self-designed questionnaire that covered seven main domains: Awareness of AI, Expectations and concerns about AI, Importance of AI in education, Potential challenges and risks of AI in education and learning, The role and potential of AI in education, Perceptions of generative AI, and Behavioral intentions and plans for AI use in medical education.

Results

SUBMITTER: Duan S 

PROVIDER: S-EPMC12020173 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature