为患有刺激性肠综合征的患者提供饮食建议的大型语言模型:ChatGPT与谷歌双子座
Merve Kip1, Gaye Saban Bozan1, Gizem Aytekin Sahin1
1Department of Nutrition and Dietetics, Nuh Naci Yazgan University, Kayseri, Turkey.
概括
像ChatGPT和Gemini这样的大型语言模型 (LLM) 显示了对刺激性肠综合征 (IBS) 饮食建议的适度遵守指南. 营养学家的专业知识仍然至关重要,强调需要在临床营养中进行LLM改进.
科学领域:
- 医疗保健中的人工智能
- 临床营养学 临床营养学
- 胃肠病学 胃肠病学
背景情况:
- 大型语言模型 (LLM) 显示出营养应用的前景.
- 对于LLM产生的饮食建议的准确性存在担忧.
- 患有刺激性肠综合征 (IBS) 的患者需要专门的饮食指导.
研究的目的:
- 评估ChatGPT和Gemini为IBS患者提供的饮食建议.
- 评估LLM产生的IBS饮食建议的准确性和质量.
- 为了比较ChatGPT和Gemini在提供IBS饮食建议方面的表现.
主要方法:
- 基于IBS指南的使用指南合规度得分.
- 使用全球质量评分 (GQS) 和CLEAR工具评估响应质量.
- 评估了可理解性,可操作性 (PEMAT) 和可读性 (FRE,FKGL).
主要成果:
- 大多数来自ChatGPT (70%) 和Gemini (57.5%) 的回复符合指南.
- 在LLM之间在合规性,质量,可理解性,可操作性或可读性方面没有发现显著差异.
- 在CLEAR,GQS,PEMAT和可读性得分之间观察到的相关性.
结论:
- 在完全依赖临床营养之前,LLM需要进一步改进.
- 营养学家的建议对于IBS患者的护理至关重要.
- 人工智能和医疗保健专业人员之间的合作是必不可少的.
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