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传统土耳其快餐中的碳水化合物计数对于1型糖尿病患者:人工智能模型可以取代营养学家吗?
Volkan Özkaya1, Erdal Eren2, Şebnem Özgen Özkaya1
1Department of Nutrition and Dietetics, Kutahya Health Sciences University School of Health Sciences, Kütahya, Türkiye.
Nutrition (Burbank, Los Angeles County, Calif.)
|October 31, 2025
概括
人工智能 (AI) 模型显示了估计土耳其快餐碳水化合物含量的潜力,有助于1型糖尿病 (T1D) 管理. 虽然人工智能的可靠性很低,但ChatGPT显示了对T1D碳水化合物计数的饮食师估计的最高一致性.
科学领域:
- 营养科学 营养科学
- 人工智能的人工智能
- 内分泌学 在内分泌学.
背景情况:
- 碳水化合物计数对于1型糖尿病 (T1D) 的血糖控制至关重要.
- 对于患有T1D的人来说,准确估计快餐中的碳水化合物含量是具有挑战性的.
- 传统方法依赖于手工计算,容易出现错误.
研究的目的:
- 使用人工智能 (AI) 模型与营养学家对比土耳其快餐的碳水化合物含量估计的准确性.
- 评估人工智能驱动估计的可靠性和与人类专家判断的一致性.
主要方法:
- 为患有T1D的儿童和青少年确定了12种土耳其快餐的首选产品.
- 使用标准化食谱,并在受控条件下拍摄食物.
- 人工智能模型 (ChatGPT-4.0,DeepSeek,Gemini,CarbManager) 和营养学家估计了图像中的碳水化合物含量.
主要成果:
- 在AI模型中,类内相关系数 (ICC) 为0.3554,表明可靠性低.
- 聊天GPT与营养师估计的一致性最高 (提供培训的人的ICC = 0.417,不提供培训的人的ICC = 0.307).
- 在提供碳水化合物计数培训的饮食师和没有提供碳水化合物计数培训的饮食师之间,没有发现估计值的显著差异.
结论:
- 人工智能模型可以帮助估计食物的碳水化合物含量,支持糖尿病自我管理.
- 聊天GPT是一个有希望的工具,可以帮助在1型糖尿病中计数碳水化合物.
- 需要进一步开发以提高AI模型的准确性和可靠性,以便在临床使用中使用.
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