Evaluating GPT-4 Performance on Plastic Surgery Oral Examination Vignettes

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Authors: Jason S. Salvato, Jordan Salvato, Yasmeen M. Byrnes, Shengxuan K. Wang, Christian A. Kauffman, Sean M. Devitt
Cited by: 0
References: 16

Abstract

BACKGROUND: The use of artificial intelligence (AI) in medicine is rapidly evolving. However, its role in plastic and reconstructive surgery remains underexplored. Plastic surgery requires nuanced, dynamic decision making, and individualized care, making AI integration challenging. This study evaluates GPT-4's ability to respond to American Board of Plastic Surgery (ABPS) Oral Board-style clinical vignettes and assesses its potential as a decision making and educational adjunct. METHODS: Twelve clinical vignettes spanning aesthetic, reconstructive, hand, craniofacial, pediatric, and trauma surgery were input into GPT-4. Each response was scored by 2 board-certified plastic surgeons across 6 clinical domains: Case Introduction, Diagnosis, Treatment Planning, Patient Counseling, Operative Steps, and Complication Management. Domains were scored on a 0-4 scale; scores

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Artificial Intelligence in Healthcare Artificial Intelligence Applications

Publication details

Journal / source
Annals of Plastic Surgery
Volume
96
Issue
5
Pages
475–481
Publication date
9 February 2026
Language
EN