ArticleKnee surgery, sports traumatology, arthroscopy : official journal of the ESSKA2026
ChatGPT models provide higher-quality but lower-readability responses than Google Gemini regarding anterior shoulder instability, with no added benefit of the orthopaedic expert plugin.
Article in Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- ChatGPT models provide higher-quality but lower-readability responses than Google Gemini regarding anterior shoulder instability, with no added benefit of the orthopaedic expert plugin.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2026Article
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8 authors.
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Abstract
purposeThe purpose is to analyze and compare the quality and readability of information regarding anterior shoulder instability and shoulder stabilization surgery from three LLMs: ChatGPT 4o, ChatGPT Orthopaedic Expert (OE) and Google Gemini.
methodsChatGPT 4o, ChatGPT OE and Google Gemini were used to answer 21 commonly asked questions from patients on anterior shoulder instability. The responses were independently rated by three fellowship-trained orthopaedic surgeons using the validated Quality Analysis of Medical Artificial Intelligence (QAMAI) tool. Assessors were blinded to the model, and evaluations were performed twice, 3 weeks apart. Readability was measured using Flesch Reading Ease Score (FRES) and Flesch-Kincaid Grade Level (FKGL). This study adhered to TRIPOD-LLM. Statistical analysis included the Friedman test, the Wilcoxon signed-rank tests and inter-class coefficients.
resultsInter-rater reliability between three surgeons was good or excellent reliability in all LLMs. ChatGPT OE and ChatGPT 4o demonstrated comparable overall performance, each achieving a median QAMAI score of 22 with interquartile ranges (IQRs) of 5.25 and 6.75, respectively, with median (IQR) domain scores for accuracy 4 (1) and 4 (1), clarity 4 (1) and 4 (1), relevance 4 (1) and 4 (1), completeness 4 (1) and 4 (1), provision of sources 1 (0) for both and usefulness 4 (1) and 4 (1), respectively. Google Gemini showed lower scores across these domains (accuracy 3 [1], clarity 3 [1], relevance 3 [1.25], completeness 3 [0.25], sources 3 [3] and usefulness 3 [1.25]), with a median QAMAI score of 19 (5.25) (p < 0.01 vs. each ChatGPT model). Readability was higher for Google Gemini (FRES = 36.96, FKGL = 11.92) than for ChatGPT OE (FRES = 21.90, FKGL = 14.94) and ChatGPT 4o (FRES = 24.24, FKGL = 15.11), indicating easier-to-read content (p < 0.01). There was no significant difference between ChatGPT 4o and OE in overall quality or readability.
conclusionsChatGPT 4o and ChatGPT OE provided statistically higher-quality responses than Google Gemini, though all models showed good-quality responses overall. However, responses generated by ChatGPT 4o and OE were more difficult to read than those generated by Google Gemini. LEVEL OF EVIDENCE: Level V, expert opinion.
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