SHM Converge Scientific Abstract ePoster Gallery-Ai in Medical Education and Medicine Practice: A Cross-Sectional Survey of Use, Confidence, and Curricular Priorities

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This cross-sectional survey examined how medical students, residents/fellows, and attendings at Rutgers Robert Wood Johnson Medical School use artificial intelligence (AI), what limits adoption, and what training is needed.<br /><br />Among 108 respondents, AI was already widely used for both education and clinical practice. Medical students mainly used AI to explain concepts, generate practice questions, and support research or literature review. Residents and fellows used it to learn about diseases and treatments, create board-style cases, and summarize complex readings. Attendings used AI to expand knowledge beyond their subspecialty.<br /><br />In clinical practice, 81% of attendings and 77% of residents/fellows reported using AI tools. Reasons for use included improving diagnostic accuracy, supporting treatment planning, increasing efficiency with administrative work, aiding decision support, monitoring patients, and personalizing care. Adoption patterns differed by training level, suggesting that workflow demands and stage of training influence how AI is used.<br /><br />Barriers among non-users included lack of awareness, concerns about accuracy and reliability, preference for traditional methods, lack of training or educational resources, limited access to tools, technical complexity, and cost. For clinicians who were not yet using AI, increased use was most likely to be driven by stronger evidence of effectiveness, better access and affordability, more training and support, and peer recommendations.<br /><br />All respondents agreed that clinicians should be educated about AI in the future. However, 70% felt they had not received adequate formal education on AI in medicine. Many also expressed concern that AI could contribute to less competent future providers, and some students and residents said AI influenced their preferred specialty choices.<br /><br />Overall, the study found high interest and use of AI but substantial educational gaps. The authors conclude that formal training on AI and its appropriate clinical use is urgently needed.

Asset Subtitle

Benjamin Blitz

Meta Tag

Author List Benjamin Blitz, Jay Naik, Rahul Mittal

Category Research

Concept Artificial Intelligence

Concept Medical Students

Concept Resident

Concept Medical Education

Concept Clinical Practice

Distinguished Non-Finalist

Presenter Organization Rutgers Robert Wood Johnson Medical School

Presenting Author Benjamin Blitz

Track Technology in Hospital Medicine

Keywords

artificial intelligence

medical students

residents and fellows

attendings

clinical practice

diagnostic support

treatment planning

AI adoption barriers

medical education

formal AI training

Artificial Intelligence

Medical Students

Resident

Medical Education

Clinical Practice