Integrating artificial intelligence into medical education: a roadmap informed by a survey of faculty and students.

ABSTRACT: We surveyed faculty and students at a large urban medical school to assess their awareness, usage patterns, and perceived barriers to AI adoption, aiming to identify opportunities for meaningful integration of AI into medical education. We developed a custom survey and distributed it to all medical students (Years 1-4) and a selected group of faculty involved in the MD curriculum. We used descriptive statistics to analyze quantitative data and conducted content analysis on open-ended responses. A total of 128 faculty and 138 students completed the survey. Most participants self-identified as novice AI users and reported limited awareness and infrequent use of AI tools for professional or academic tasks. They cited lack of knowledge, limited time, and unclear benefits as key barriers. Both

SUBMITTER: Blanco MA 

PROVIDER: S-EPMC12265092 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature