大型语言模型在回答关于乳病常见问题的表现
Nadav Peled1, Dror S Shouval2,3, Peter Gillett4
1Adelson School of Medicine, Ariel University, Ariel, Israel.
Journal of pediatric gastroenterology and nutrition
|February 9, 2026
概括
大型语言模型 (LLM) 提供了关于乳病 (CeD) 和无质饮食 (GFD) 管理的清晰而准确的信息. 虽然对患者教育有希望,但临床医生监督至关重要,因为人工智能产生的医疗内容的准确性可能有所不同.
科学领域:
- 人工智能在医学中的应用
- 胃肠病学 胃肠病学
- 饮食管理 饮食管理
背景情况:
- 病 (CeD) 需要终身坚持无质饮食 (GFD).
- 患者和护理人员积极寻找在线健康信息.
- 大型语言模型 (LLM) 具有作为CeD管理的可访问教育资源的潜力.
研究的目的:
- 评估流行的LLM在回答关于CeD和GFD的常见问题 (FAQ) 中的准确性和完整性.
- 为了比较ChatGPT-4,Gemini Flash 2.5和Claude Sonnet 3.7在提供CeD相关信息方面的性能.
主要方法:
- 一项涉及12个CeD和GFD常见问题的横截面研究,提交给三个LLMs.
- 六名儿科胃肠病学家对LLM反应进行了独立评估和评分,使用5分利克尔特等级.
- 评估标准包括准确性,完整性,清晰性和整体质量.
主要成果:
- 课程的平均总分为4.3/5,清晰度 (4.56) 和准确度 (4.26) 较高.
- 与管理相关的常见问题比诊断问题得分更高 (p=0.013).
- 与其他LLM相比,Gemini表现优越 (p<0.01).
结论:
- 总体而言,LLM提供了关于CeD和GFD的准确和清晰信息,特别是在管理方面.
- 这些人工智能工具对患者对乳病的教育充满希望.
- 临床医生的监督对于验证人工智能生成的医疗信息的准确性至关重要.
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