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Assesing the quality and accessibilty of online health information recommended by large language models for sports medicine injuries
0
Zitationen
7
Autoren
2026
Jahr
Abstract
Introduction/Objectives: Large language models are increasingly used by patients to seek health information and frequently provide links to external websites for further reading. While prior studies have evaluated the accuracy of AI-generated responses, the quality and accessibility of the online resources recommended by these systems remain poorly characterized. The objective of this study is to evaluate the quality, transparency, understandability, actionability, and readability of online health information resources recommended by ChatGPT and Google Gemini for frequently asked questions about shoulder and knee surgery.
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