评估由具有检索增强功能的定制GPT创建的儿科神经皮肤综合征相关患者教育材料的可读性。
Evaluating the Readability of Pediatric Neurocutaneous Syndromes-Related Patient Education Material Created by a Custom GPT With Retrieval Augmentation.
作者信息
Ede Nneka, Okereke Robyn
机构信息
Department of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, 1500 Red River Street, Austin, TX, 78701, United States, +15124955555.
Dell Medical School, The University of Texas at Austin, Austin, TX, United States.
出版信息
JMIR Dermatol. 2025 Jul 16;8:e59054. doi: 10.2196/59054.
In our study, we developed a GPT assistant with a custom knowledge base for neurocutaneous diseases, tested its ability to answer common patient questions, and showed that a GPT using retrieval augmentation generation can improve the readability of patient educational material without being prompted for a specific reading level.
在我们的研究中，我们开发了一个带有神经皮肤疾病定制知识库的GPT助手，测试了它回答常见患者问题的能力，并表明使用检索增强生成的GPT可以提高患者教育材料的可读性，而无需针对特定阅读水平进行提示。
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