聊天,双子座和克劳德在餐桌上:评估一般用途的AI工具来计算碳水化合物在1型糖尿病的背景下
Sandra Goncalves1, Céline Coelho1, Lysiane Pretre1
1Department of Endocrinology and Diabetes, Hôpital Sud-Francilien, 40 Avenue Serge Dassault, 91100 Corbeil-Essonnes, France.
Diabetes research and clinical practice
|November 28, 2025
概括
一般用途的人工智能工具在1型糖尿病 (T1D) 管理中提供可变精度的碳水化合物估计. 虽然ChatGPT显示出希望,但双子座和克劳德的错误率更高,这表明它们可能补充,但不能取代专家的饮食指导.
科学领域:
- 内分泌学 在内分泌学.
- 医疗保健中的人工智能
- 营养科学 营养科学
背景情况:
- 碳水化合物计数对于1型糖尿病 (T1D) 管理至关重要.
- 一般用途的人工智能工具越来越多地用于饮食评估,但它们对T1D的准确性尚未被证明.
- 现有的专用应用程序可能无法满足所有患者的需求,这引发了对人工智能解决方案的兴趣.
研究的目的:
- 评估ChatGPT,Gemini和Claude在估计食碳水化合物含量的准确性,与专家饮食学家相比.
- 评估可能导致胰岛素过量服用的显著过高估计风险.
主要方法:
- 30种不同的食被拍摄,并由6名饮食学家对参考碳水化合物含量进行评估.
- 人工智能模型 (ChatGPT,Gemini,Claude) 使用标准化提示符估计碳水化合物含量.
- 主要结局:绝对误差;次要结局:大过高估值的比例 (≥+20 g).
主要成果:
- 平均绝对误差为13±10g (饮食学家),20±18g (ChatGPT),28±26g (双子座) 和23±21g (克劳德).
- 双子座和克劳德的错误率明显高于营养学家;ChatGPT的错误并没有显著差异.
- 在3%的营养师估计中发生了很大的过高估计,而ChatGPT的估计为13%,Claude的17%和Gemini的38%.
结论:
- 一般用途的人工智能工具可以为T1D管理提供碳水化合物估计,但其准确性可变.
- 聊天GPT表现与饮食学家相似,而双子座和克劳德的准确性较低.
- 这些人工智能工具可能与结构化糖尿病教育一起作为补充资源,而不是替代.
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