ArticlePlastic and reconstructive surgery. Global open2024
ChatGPT-4 Surpasses Residents: A Study of Artificial Intelligence Competency in Plastic Surgery In-service Examinations and Its Advancements from ChatGPT-3.5.
Article in Plastic and reconstructive surgery. Global open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Accuracy of Large Language Models When Answering Clinical Research Questions: Systematic Review and Network Meta-Analysis.Journal of medical Internet research · 2025Pooled it
- 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
- The Use of Large Language Models in Postgraduate Plastic Surgery Training: A National Survey of Plastic Surgery Residents.Plastic surgery (Oakville, Ont.) · 2025Article
- Artificial Intelligence and Plastic Surgery Resident Education.Plastic and reconstructive surgery. Global open · 2025Article
- Artificial intelligence in clinical practice: a cross-sectional survey of paediatric surgery residents' perspectives.BMJ health & care informatics · 2025Article
- ChatGPT-4o is Not a Reliable Study Source for Orthopaedic Surgery Residents.JB & JS open accessReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: ChatGPT, launched in 2022 and updated to Generative Pre-trained Transformer 4 (GPT-4) in 2023, is a large language model trained on extensive data, including medical information. This study compares ChatGPT's performance on Plastic Surgery In-Service Examinations with medical residents nationally as well as its earlier version, ChatGPT-3.5. Methods: This study reviewed 1500 questions from the Plastic Surgery In-service Examinations from 2018 to 2023. After excluding image-based, unscored, and inconclusive questions, 1292 were analyzed. The question stem and each multiple-choice answer was inputted verbatim into ChatGPT-4. Results: ChatGPT-4 correctly answered 961 (74.4%) of the included questions. Best performance by section was in core surgical principles (79.1% correct) and lowest in craniomaxillofacial (69.1%). ChatGPT-4 ranked between the 61st and 97th percentiles compared with all residents. Comparatively, ChatGPT-4 significantly outperformed ChatGPT-3.5 in 2018-2022 examinations ( Conclusion: This study reveals ChatGPT-4's rapid developments, advancing from a first-year medical resident's level to surpassing independent residents and matching a sixth-year resident's proficiency.
Identifiers
What OpenQuestion holds
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.