围透析教育中的人工智能聊天机器人:质量,可读性和可靠性的跨部门比较研究
Engin Onan1, İlter Bozaci2, Yelda Deligoz Bildaci3
1Department of Nephrology, Adana Dr. Turgut Noyan Training and Research Hospital, Faculty of Medicine, Baskent University, Adana 01120, Turkey.
Journal of clinical medicine
|January 28, 2026
概括
人工智能聊天机器人在回答腹腔透析 (PD) 问题时表现出不同的质量. 双子Pro 2.5在PD教育的可读性和内容可靠性方面超过了ChatGPT-5和LLaMA Maverick 4.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學專業.
- 人工智能的人工智能
- 医疗信息学 医疗信息学
背景情况:
- 腹腔透析 (PD) 在全球范围内未得到充分利用,原因是患者教育缺陷和错误信息.
- 人工智能聊天机器人有可能提高健康素养和患者参与PD.
- 缺乏对人工智能生成的PD内容质量的系统评估.
研究的目的:
- 系统评估人工智能产生的围透析教育内容的质量,可靠性和可读性.
- 为了比较基于多种大型语言模型的聊天机器人在响应PD相关查询时的性能.
主要方法:
- 开发了45个专家策划的PD问题,涉及三个领域.
- 使用Gemini Pro 2.5,ChatGPT-5和LLaMA Maverick 4来生成响应. 这是一个很好的方法.
- 通过使用Flesch阅读易度得分 (FRES),Flesch-Kincaid等级水平 (FKGL),为患者提供质量信息 (EQIP) 和修改后的DISCERN仪器来评估反应.
主要成果:
- 在聊天机器人中,在可读性和内容质量方面发现了显著的差异.
- 与ChatGPT-5和LLaMA Maverick 4相比,Gemini Pro 2.5的FRES,EQIP和修改DISCERN分数都表现出更高的优势.
- 在所有评估指标中,LLaMA Maverick 4表现最低.
结论:
- 人工智能聊天机器人不同的是,它们能够提供关于腹膜透析的可读和可靠信息.
- 人工智能生成的内容可以补充PD患者教育,但需要仔细的临床监督.
- 为了安全地将AI整合到PD患者教育中,需要进一步的研究,重点是基于结果的多语言研究.
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