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Evaluating the Readability of AI-Generated Patient Information on Chronic Diseases
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作者 faheed shafau Chase Wahl 《Chronic Diseases and Translational Medicine》 2025年第4期316-317,共2页
Dear Editor,The use of artificial intelligence(AI)to generate patient information has become increasingly common in medicine.In radiology,AI has demonstrated potential in improving patient education and care[1].With t... Dear Editor,The use of artificial intelligence(AI)to generate patient information has become increasingly common in medicine.In radiology,AI has demonstrated potential in improving patient education and care[1].With the increased usage of AI and large language models(LLM)in medicine,it is important that their readability is evaluated.The Joint Commission states that the reading level of patient education material should be at or below a 5th grade reading level;thus,their outputs must meet established readability standards to support effective patient education[2].In this study,we evaluated the readability of information generated by LLMs ChatGPT,Gemini,and Copilot on chronic diseases such as diabetes,cancer,and heart disease. 展开更多
关键词 patient information chronic diseases generate patient information improving patient education care large language models llm artificial intelligence ai patient education material artificial intelligence
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