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Divergence Between Clinical Accuracy and Readability in Large Language Models: A Comparative Study in Hypogonadism

2026-06-15

Abstract excerpt

<title>Abstract</title> <p>Large language models (LLMs) are increasingly used as sources of medical information, yet concerns remain regarding their ability to provide clinically accurate and patient-friendly responses. This study evaluated the performance of three widely used LLMs (ChatGPT, Gemini, and Claude) in answering 20 frequently asked questions related to hypogonadism derived from Google Trends across fo...

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Literature Corpus work
25121ba7-f6a8-5798-bf7a-403b335d2bfc
DOI
10.21203/rs.3.rs-9941676/v1
Open publication

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Divergence Between Clinical Accuracy and Readability in Large Language Models: A Comparative Study in HypogonadismDOI 10.21203/rs.3.rs-9941676/v1
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