Evidence map›Paper›PMID 40821958›Full record

ArticleFoot & ankle orthopaedics2025

ChatGPT-4 Responses on Ankle Cartilage Surgery Often Diverge from Expert Consensus: A Comparative Analysis.

Takuji Yokoe, Giulia Roversi, Nuno Sevivas, Naosuke Kamei, Pedro Diniz, Hélder Pereira

Abstract read
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Article in Foot & ankle orthopaedics, 2025. 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

6 authors.

Takuji YokoeOrthopaedic Department, Centro Hospitalar Póvoa de Varzim, Vila do Conde, Portugal.ORCID https://orcid.org/0000-0003-4117-2442
Giulia RoversiOrthopaedics and Traumatology, Department of Medical and Surgical Specialities, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy.
Nuno SevivasLife and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Campus de Gualtar, Braga, Portugal.ORCID https://orcid.org/0000-0002-6573-0368
Naosuke KameiDivision of Orthopaedic Surgery, Department of Medicine of Sensory and Motor Organs, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan.ORCID https://orcid.org/0000-0001-5076-0145
Pedro DinizDepartment of Orthopaedic Surgery, Centre Hospitalier de Luxembourg-Clinique d'Eich, Luxembourg, Luxembourg.ORCID https://orcid.org/0000-0001-9234-7041
Hélder PereiraOrthopaedic Department, Centro Hospitalar Póvoa de Varzim, Vila do Conde, Portugal.ORCID https://orcid.org/0000-0003-2220-6766

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: There are few studies that have evaluated whether large language models, such as ChatGPT, can provide accurate guidance to clinicians in the field of foot and ankle surgery. This study aimed to assess the accuracy of ChatGPT's responses regarding ankle cartilage repair by comparing them with the consensus statements from foot and ankle experts as a standard reference. Methods: The open artificial intelligence (AI) model ChatGPT-4 was asked to answer a total of 14 questions on debridement, curettage, and bone marrow stimulation for ankle cartilage lesions that were selected at the 2017 International Consensus Meeting on Cartilage Repair of the Ankle. The ChatGPT responses were compared with the consensus statements developed in this international meeting. A Likert scale (scores, 1-5) was used to evaluate the similarity of the answers by ChatGPT to the consensus statements. The 4 scoring categories (Accuracy, Overconclusiveness, Supplementary, and Incompleteness) were also used to evaluate the quality of ChatGPT answers, according to previous studies. Results: The mean Likert scale score regarding the similarity of ChatGPT's answers to the consensus statements was 3.1 ± 0.8. Regarding the results of 4 scoring categories of the ChatGPT answers, the percentages of answers that were considered "yes" in the Accuracy, Overconclusiveness, Supplementary, and Incompleteness were 71.4% (10/14), 35.7% (5/14), 78.6% (11/14), and 14.3% (2/14), respectively. Conclusion: This study showed that ChatGPT-4 often provides responses that diverge from expert consensus regarding surgical treatment of ankle cartilage lesions. Level of Evidence: Level V, expert opinion.

Indexed as

ankle cartilage injuryArtificial intelligencebone marrow stimulationChatGPTconsensus statement

Identifiers

PMID40821958
PMCPMC12351097

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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.