ArticlePlastic and reconstructive surgery. Global open2025
Artificial Intelligence Augmentation: Performance of GPT-4 and GPT-3.5 on the Plastic Surgery In-service Examination.
Article in Plastic and reconstructive surgery. Global open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Didactic Education in Plastic Surgery Residency: A National Survey Highlighting Variation in Curriculum Structure and Assessment.Plastic and reconstructive surgery. Global open · 2026Article
- Large language model applications in facial plastic and reconstructive surgery: a systematic review of applications, performance, and ethical considerations.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2026Review
- Artificial Intelligence in Plastic Surgery Education: A Global Multimodel Benchmark of Large Language Models on the Plastic Surgery In-Service Training Examination.Aesthetic surgery journal. Open forum · 2026Article
- Tests of large language models' medical competence and application for clinical decision support of musculoskeletal rehabilitation.Frontiers in digital health · 2025Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: ChatGPT-3.5 scored in the 52nd percentile of the Plastic Surgery In-service Examination, making its knowledge equivalent to a first-year integrated resident. The updated GPT-4 may have improved performance given its more expansive training set. We hypothesized that GPT-4 would outperform its predecessor, making it a more valuable potential asset to surgical education. Methods: Questions from the 2022 Plastic Surgery In-service Examination were given to GPT-4 and GPT-3.5. Both were prompted using 3 different structures. The 2022 American Society of Plastic Surgeons Norm Tables were used to compare the performance of the chatbot to national metrics from plastic surgery residents. Results: GPT-4 answered a total of 237 questions with an overall accuracy of 63% across all 3 strategies. The accuracy was as follows for the prompting schemes: 54% for open ended, 67% for multiple choice (MC), and 68% for MC with explanation. The section with the highest accuracy (74%) among all strategies was Section 4: Breast and Cosmetic. GPT-4's highest scoring methodology (MC with explanation, 68%) placed it in the following national integrated percentiles: 93rd percentile for the first year, 76th percentile for the second year, 52nd percentile for the third year, 34th percentile for the fourth year, 17th percentile for the fifth year, and 15th percentile for the sixth year. GPT-3.5 scored 58% overall. Conclusions: GPT-4 outperformed its predecessor but only scored in the 15th percentile compared with postgraduate year-6 residents. More refinement is needed to achieve performance metrics equivalent to an attending plastic surgeon and become a valuable tool for surgical education.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.