Enhancing objective structured clinical examination performance through an artificial intelligence virtual patient: a proof-of-concept study
The application of artificial intelligence (AI) in simulating detailed patient-doctor interactions for objective structured clinical examinations (OSCEs) remains emerging. This study aimed to evaluate an AI virtual patient (AIVP) innovation designed to support medical education through interactive patient simulations and feedback. This prospective mixed-methods pilot recruited final-year medical students during their critical care term. Two cohorts were examined: a volunteer AIVP group (n = 43) and an educationa…
Final-year medical students using an AI virtual patient with nine emergency medicine scenarios showed significant improvement in overall OSCE outcomes in the small MEET cohort and reported higher confidence in history-taking, differential diagnosis, and management planning.
Pilot was small and volunteer-based, with the main AIVP cohort showing only descriptive improvements and no statistically significant change on Wilcoxon testing, limiting generalizability of efficacy claims.
Evidence
- Peer-reviewedBaylor University Medical Center Proceedings2026-07-21
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Truvace Impact Record TRV-2026-0507, v1: “Enhancing objective structured clinical examination performance through an artificial intelligence virtual patient: a proof-of-concept study.” Truvace, 2026-07-22. /record/TRV-2026-0507 (accessed at citation time). sha256 9db6b0f73332338b…
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