Evidence map›Paper›PMID 41179397›Full record

ArticleJSES reviews, reports, and techniques2025

Appraisal of ChatGPT's responses to common patient questions regarding acromioclavicular joint dislocations.

Eduard Van Eecke, Wouter Schroven, Maxim Vanderstappen, Simran Grewal, Michel P J van den Bekerom

Abstract read
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Article in JSES reviews, reports, and techniques, 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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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Eduard Van EeckeDepartment of Orthopaedic Surgery, AZ Delta, Roeselare, Belgium.
Wouter SchrovenDepartment of Orthopaedic Surgery, UZ Leuven, Leuven, Belgium.
Maxim VanderstappenDepartment of Orthopaedic Surgery, AZ Monica, Antwerp, Belgium.
Simran GrewalShoulder and Elbow Unit, Department of Orthopaedic Surgery, OLVG, Amsterdam, The Netherlands.
Michel P J van den BekeromShoulder and Elbow Unit, Department of Orthopaedic Surgery, OLVG, Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: ChatGPT, an expanding artificial intelligence platform, is rapidly becoming a source of medical knowledge for patients. The purpose of this study is to evaluate the quality and readability of information provided by ChatGPT 4.0 in response to the most frequently asked patients' questions regarding acromioclavicular (AC) joint dislocations. Methods: Twenty-five frequently asked patient questions regarding AC joint dislocations were posed to ChatGPT 4.0. The quality and accuracy of the responses was graded by two fellowship-trained shoulder surgeons using a 5-point Likert scale. Responses were analyzed for readability using six established metrics. Results: ChatGPT provided responses to 25 frequently asked questions, with consensus reached on 12 questions. The final average score was 4/5, reflecting good quality with minor inaccuracies. Treatment-related questions scored lower compared to other categories, with a significant difference observed between treatment and rehabilitation ( Conclusion: ChatGPT delivers accurate and easily comprehensible information on AC joint dislocations, highlighting its potential to improve patient education. Although the model generally provides high-quality responses, its limitations in addressing treatment-related questions underscore the importance of clinician oversight. ChatGPT can therefore serve as a valuable complement to traditional patient education methods.

Indexed as

Acromioclavicular dislocationArtificial intelligence (AI)ChatGPTInternetPatient educationSports medicine

Identifiers

PMID41179397
PMCPMC12573632

What Socratic holds

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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 Socratic graph.