人工智能生成的饮食计划中的饮食质量和热量准确性:在聊天机器人中进行的一项比较研究
Hüsna Kaya Kaçar1, Ömer Furkan Kaçar2,3,4, Amanda Avery5
1Division of Nutrition and Dietetics, Faculty of Health Sciences, Amasya University, Amasya 05100, Türkiye.
Nutrients
|January 25, 2025
概括
人工智能聊天机器人显示了个性化的减肥饮食计划的前景,提供了良好的多样性和充分性. 然而,它们在宏观营养素平衡方面遇到了困难,这表明需要人工智能改善营养规划.
科学领域:
- 营养科学 营养科学
- 人工智能的人工智能
- 医疗保健技术 技术 医疗保健 技术
背景情况:
- 人工智能 (AI) 在医疗保健中越来越多地用于个性化营养.
- 人工智能驱动的聊天机器人正在成为创建定制饮食计划的工具.
- 评估人工智能在生成减肥饮食方面的能力至关重要.
研究的目的:
- 评估双子座,微软Copilot和ChatGPT 4.0在创建减肥饮食计划方面的能力.
- 为了在不同的AI聊天机器人中比较饮食质量和热量准确度.
- 在个性化营养规划中识别AI的优势和局限性.
主要方法:
- 由三个人工智能聊天机器人 (Gemini,Copilot,ChatGPT 4.0) 生成的饮食计划的比较分析.
- 使用国际饮食质量指数 (DQI-I) 评估饮食质量,包括多样性,充足性,适度和平衡.
- 通过计算男性和女性个人资料与目标范围 (1400-1800千卡) 的百分比偏差来分析热量准确性.
主要成果:
- 所有的聊天机器人获得了整体高的饮食质量指数-国际分数 (>70).
- 在平衡子分数中始终观察到最低的分数,特别是宏观营养素和脂肪酸分布.
- 聊天GPT 4.0表现出优越的热量坚持,而双子座显示出超过50%的偏离目标超过20%.
结论:
- 人工智能聊天机器人可以生成营养充足和多样化的减肥计划.
- 需要进行算法改进,以改善人工智能产生的饮食中的宏观营养素和脂肪酸平衡.
- 人工智能工具显示有潜力支持,但不能取代个性化营养的饮食专业人士.
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