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Performance of five large language models in frozen shoulder patient education: a multidimensional evaluation of readability, quality, clinical alignment, and safety
Abstract This study compared the educational suitability, overall quality, translation-based readability, clinical intent alignment, and safety of frozen shoulder patient education materials generated by GPT-5, DeepSeek, Doubao, Wenxin Yiyan, and Tongyi Qianwen. Twenty clinician-curated questions covering five content categories were submitted once to each model, producing 100 first-pass responses.
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