Evaluating GPT-4 Performance on Plastic Surgery Oral Examination Vignettes
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