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人工智能 (AI) 聊天机器人工具可以有效地用于肥胖的营养管理吗?
Hatice Merve Bayram1, Zehra Margot Çelik2, Hatice Kübra Barcın Güzeldere3
1Department of Nutrition and Dietetics, Faculty of Health Science, Istanbul Gelisim University, Istanbul, Turkiye.
Nutrition and health
|March 20, 2025
概括
像ChatGPT-4o和ChatGPT-4这样的人工智能 (AI) 聊天机器人在为肥胖提供准确的饮食计划方面存在局限性,与土耳其饮食指南相比,它们的卡路里和营养建议不足. 专家营养学家对于临床营养管理至关重要.
科学领域:
- 营养科学 营养科学
- 人工智能的人工智能
- 医疗营养治疗 治疗 治疗
背景情况:
- 人工智能 (AI),特别是生成预训练变压器 (ChatGPT) 模型,越来越多地被用于各种健康状况中的饮食规划.
- 以前的研究表明,人工智能在协助营养管理方面具有潜在的实用性.
研究的目的:
- 将ChatGPT-4o和ChatGPT-4产生的饮食计划中能量,宏观和微量营养素含量的准确性和清晰度与土耳其饮食指南 (TDG) -2022用于肥胖管理进行比较.
- 评估人工智能生成的菜单对于医疗营养治疗的适用性.
主要方法:
- 使用ChatGPT-4o和ChatGPT-4进行了比较内容分析,为患有肥胖症的20岁女性创建1800千卡路里的日常饮食计划.
- 人工智能模型为饮食管理,营养护理过程和菜单规划提供了建议.
- 结果由三个注册营养学家评估并进行统计分析.
主要成果:
- 聊天GPT生成的菜单与TDG-2022建议不一致,提供的卡路里含量明显低于"1800 kcal提示" (P <0.001对于ChatGPT-4o).
- 与TDG-2022相比,关键营养素,包括脂肪 (P = 0.003),碳水化合物 (%),和 (P < 0.05) 的比例不够.
- 营养素分析表明,在满足关键微量营养素 (如) 的推摄入量方面,营养素表现不佳,以及巨量营养素分布不平衡.
结论:
- 在提供准确可靠的肥胖饮食管理计划方面,ChatGPT-4o和ChatGPT-4存在局限性.
- 虽然人工智能聊天机器人可以提供补充的见解,但它们不能替代营养学家在临床营养规划中的关键专业知识.
- 在将人工智能工具整合到医学营养治疗中时,建议谨慎,因为目前的准确性和完整性缺陷.
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