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Hepatitis C Patient Education:Large Language Models Show Promise in Disseminating Guidelines
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作者 Jinyan Chen Ruijie Zhao +10 位作者 Chiyu He Huigang Li Yajie You Zuyuan Lin Ze Xiang Jianyong Zhuo Wei Shen Zhihang Hu Shusen Zheng Xiao Xu Di Lu 《Journal of Clinical and Translational Hepatology》 2026年第1期116-119,共4页
This study evaluated the accuracy,completeness,and comprehensibility of responses from mainstream large language models(LLMs)to hepatitis C virus(HCV)-related questions,aiming to assess their performance in addressing... This study evaluated the accuracy,completeness,and comprehensibility of responses from mainstream large language models(LLMs)to hepatitis C virus(HCV)-related questions,aiming to assess their performance in addressing patient queries about disease and lifestyle behaviors.The models selected were ChatGPT-4o,Gemini 2.0 Pro,Claude 3.5 Sonnet,and DeepSeek V3,with 12 questions chosen by two HCV experts from the domains of prevention,diagnosis,and treatment. 展开更多
关键词 addressing patient queries disease lifestyle behaviorsthe large language models large language models llms GUIDELINES hepatitis C accuracy patient education COMPREHENSIBILITY
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