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  1. 医学部
  1. 医学部
  2. 学術雑誌掲載論文  (医学部)

The assessment of ChatGPT-4's performance compared to expert's consensus on chronic lateral ankle instability.

http://hdl.handle.net/10458/0002001651
http://hdl.handle.net/10458/0002001651
e3bd516f-4f3f-400a-9434-ae942b197703
名前 / ファイル ライセンス アクション
J Fulltext (1.5 MB)
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アイテムタイプ 学術雑誌論文 / Journal Article(1)
公開日 2025-08-27
タイトル
タイトル The assessment of ChatGPT-4's performance compared to expert's consensus on chronic lateral ankle instability.
言語 en
言語
言語 eng
キーワード
言語 en
キーワード ankle lateral ligament
キーワード
言語 en
キーワード artificial intelligence
キーワード
言語 en
キーワード consensus development
キーワード
言語 en
キーワード joint instability
資源タイプ
資源タイプ journal article
アクセス権
アクセス権 open access
著者 横江, 琢示

× 横江, 琢示

WEKO 34429
e-Rad_Researcher 50895894

ja 横江, 琢示
宮崎大学

ja-Kana ヨコエ, タクジ

en Yokoe, Takuji
University of Miyazaki

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Roversi, Giulia

× Roversi, Giulia

en Roversi, Giulia
Università degli Studi di Brescia

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Sevivas, Nuno

× Sevivas, Nuno

en Sevivas, Nuno
Escola de Medicina da Universidade do Minho

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亀井, 直輔

× 亀井, 直輔

WEKO 35566
e-Rad_Researcher 70444685

ja 亀井, 直輔
宮崎大学

ja-Kana カメイ, ナオスケ

en Kamei, Naosuke
University of Miyazaki

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Diniz, Pedro

× Diniz, Pedro

en Diniz, Pedro
Universidade de Lisboa

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Pereira, Hélder

× Pereira, Hélder

en Pereira, Hélder
Centro Hospitalar Póvoa de Varzim

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抄録
内容記述タイプ Abstract
内容記述 To evaluate the accuracy of answers to clinical questions on the surgical treatment of chronic lateral ankle instability (CLAI) using ChatGPT-4 as a reference for consensus statements developed by the ESSKA-AFAS Ankle Instability Group (AIG). This study simulated the clinical settings where non-expert clinicians treat patients with CLAI./The large language model (LLM) ChatGPT-4 was used on 10 February 2025 to answer a total of 17 questions regarding the surgical management of CLAI that were developed by the ESSKA-AFAS AIG. The ChatGPT responses were compared with the consensus statements developed by ESSKA-AFAS AIG. The consistency and accuracy of the answers by ChatGPT as a reference for the experts' answers were evaluated. The consistency of ChatGPT's answers to the consensus statements was assessed by the question, 'Is the answer by ChatGPT agreement with those by the experts? (Yes or No)'. Four scoring categories: Accuracy, Overconclusiveness (proposed recommendation despite the lack of consensus), Supplementary (additional information not covered by the consensus statement), and Incompleteness, were used to evaluate the quality of ChatGPT's answers./Of the 17 questions on the surgical management of CLAI, 11 answers (64.7%) were agreement with the consensus statements by the experts. The percentages of ChatGPT's answers that were considered 'Yes' in the Accuracy and Supplementary were 64.7% (11/17) and 70.6% (12/17), respectively. The percentages of ChatGPT's answers that were considered "No" in the Overconclusiveness and Incompleteness were 76.5% (13/17) and 88.2% (15/17), respectively./The present study showed that ChatGPT-4 could not provide answers to queries on the surgical management of CLAI, such as foot and ankle experts. However, ChatGPT also showed its promising potential for its application when managing patients with CLAI./Level Ⅳ.
言語 en
書誌情報 en : Journal of experimental orthopaedics

巻 12, 号 3, p. e70393, 発行日 2025-08-05
出版者
出版者 John Wiley & Sons
言語 en
ISSN
収録物識別子タイプ PISSN
収録物識別子 21971153
ISSN
収録物識別子タイプ EISSN
収録物識別子 21971153
DOI
関連タイプ isVersionOf
識別子タイプ DOI
関連識別子 https://doi.org/10.1002/jeo2.70393
権利
権利情報 © 2025 The Author(s).
言語 en
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出版タイプ VoR
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