Evidence map›Paper›PMID 41615450›Full record

ArticleJournal of orofacial orthopedics = Fortschritte der Kieferorthopadie : Organ/official journal Deutsche Gesellschaft fur Kieferorthopadie2026

ChatGPT performance in orthodontics : Assessment of accuracy and repeatability in patient instruction and management using Global Quality Score.

Heejin Park, SungHyun Lee, KyungMin Clara Lee

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Article in Journal of orofacial orthopedics = Fortschritte der Kieferorthopadie : Organ/official journal Deutsche Gesellschaft fur Kieferorthopadie, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Heejin ParkDepartment of Orthodontics, Chonnam National University, Gwangju, Korea, Republic of.
SungHyun LeeDepartment of Orthodontics, Chonnam National University, Gwangju, Korea, Republic of.
KyungMin Clara LeeDepartment of Orthodontics, Chonnam National University, Gwangju, Korea, Republic of. ortholkm@jnu.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study assessed the accuracy and repeatability of the orthodontics-related information generated by Chat Generative Pre-trained Transformer (ChatGPT, model GPT-4o, 18 July 2024, OpenAI, San Francisco, CA, USA) and evaluated its usefulness for patient education by comparing artificial intelligence (AI)-generated responses to questions that patients frequently search for with responses from two orthodontic specialists. MATERIALS AND

methodsIn January and February 2025, 30 descriptive questions (15 on basic orthodontics and 15 on clinically advanced orthodontics) on nondecision, informational content in patient education were assessed, including a "briefly summarize within 500 characters" condition. Accuracy was defined as a response match between ChatGPT and the orthodontist, repeatability was the consistency of ChatGPT output over two iterations. Evaluations used a 5-point Likert scale for accuracy and a 5-point Global Quality Score (GQS) for repeatability. Data were analyzed using R, Wilcoxon signed-rank test and the Mann-Whitney U test.

resultsRepeated responses from ChatGPT showed high repeatability with consistent overall accuracy. For basic orthodontics questions, accuracy increased slightly from 4.27 ± 1.03 to 4.53 ± 0.83 (p = 0.203). For clinically advanced orthodontics questions, accuracy remained stable (first: 3.67 ± 1.05, second: 3.73 ± 0.46, p = 0.850). In terms of repeatability and quality assessed by GQS, basic orthodontic questions scored moderately (first: 3.13 ± 0.83, second: 3.27 ± 0.70, p = 0.580), whereas clinically advanced orthodontics questions received higher GQS scores (first: 4.20 ± 0.77, second: 3.80 ± 0.56, p = 0.095), indicating potential applicability in patient education contexts.

conclusionThe accuracy and repeatability of ChatGPT's responses varied by question type: basic questions were more accurate, while clinically advanced orthodontic questions resulted in higher repeatability and quality. As these findings are limited to patient education and general information delivery, ChatGPT should not be considered a replacement for professional orthodontic expertise.

Indexed as

AccuracyGenerative artificial intelligenceGlobal Quality Score(GQS)Patient instructionsRepeatability

Identifiers

PMID41615450

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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.