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Testing the Implementation and Acceptance of Generative Artificial Intelligence to Augment Vascular Surgery Journal
Rhea Puthumana1, Sean Liebscher1, Mead Ferris1
1Division of Vascular Surgery & Endovascular Therapy, University of Vermont Health, Burlington, Vermont.
Journal of Surgical Education
|February 17, 2026
Summary
Generative artificial intelligence (GAI) effectively summarizes medical articles and answers questions in vascular surgery journal clubs. Participants found GAI valuable for learning, especially medical students and attendings, suggesting its adoption in training programs.
Area of Science:
- Medical Education
- Artificial Intelligence in Medicine
- Surgical Training
Background:
- Generative artificial intelligence (GAI) shows promise in medicine, but its role in medical education, specifically vascular surgery journal clubs, is not well-defined.
- This study evaluates the effectiveness and participant attitudes towards using GAI in a vascular surgery journal club setting.
Purpose of the Study:
- To assess the effectiveness of a large language model (LLM) in enhancing vascular surgery journal clubs.
- To evaluate participant attitudes towards GAI integration across different medical training levels.
Main Methods:
- A commercially available LLM (ChatGPT 4o) was integrated into vascular surgery journal clubs.
- Trainees presented articles, followed by LLM summaries; structured and unstructured questions were posed to both trainees and the LLM.
- Real-time surveys assessed LLM accuracy and participant feedback, with citation validity also examined.
Main Results:
- 96% of respondents found LLM summaries factually correct, and 76% found its answers thorough and accurate.
- 92% deemed LLM beneficial for summarizing and answering questions, provided it supplements, not replaces, trainee presentations.
- LLM accuracy and usefulness varied significantly by learner type, with medical students and attendings noting additional value.
Conclusions:
- GAI is a valuable resource for summarizing research, answering questions, and promoting educational growth in vascular surgery journal clubs.
- Participants found GAI beneficial across all learner types, supporting its integration into surgical training.
- Training programs are encouraged to consider adopting GAI for vascular surgery journal club education.
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