营养中的AI:跨不同客户档案的饮食计划的多标准分析
Adem Erik1, Sakhi Mohammad Hamidy2, Hilal Karamancıoğlu1
1Department of Industrial Engineering, Tarsus University, Mersin, Türkiye.
Nutrition research (New York, N.Y.)
|January 10, 2026
概括
人工智能 (AI) 工具可以创建个性化的饮食计划,GPTPLUS在多标准决策评估中排名最高. 人工智能在营养方面的道德准则是必要的,以确保安全有效的使用.
科学领域:
- 营养科学 营养科学
- 人工智能的人工智能
- 医疗信息学 医疗信息学
背景情况:
- 人工智能 (AI) 越来越多地应用于医疗保健,包括营养.
- 人工智能生成的饮食计划为个性化的营养指导提供了潜力.
- 评估人工智能在饮食规划中的有效性和安全性至关重要.
研究的目的:
- 评估和排名各种AI工具,以生成个性化的饮食计划.
- 根据包括营养充足性和道德合规性在内的多个标准来评估人工智能生成的饮食计划.
- 使用多标准决策 (MCDM) 框架比较不同AI模型的性能.
主要方法:
- 根据注册营养师提供的临床病例制定了真实的客户场景.
- 向多个AI工具 (例如,ChatGPT,Gemini,DeepSeek) 提交标准化的提示,以生成饮食计划.
- 采用MCDM方法 (LBWA,COPRAS,PROMETHEE-I/II) 来评估基于适当性,可行性,营养充足性,个性化,道德性,可重现性和清晰性的饮食计划.
主要成果:
- 在评估的AI工具中,GPTPLUS获得了最高的整体排名.
- 迪普塞克表现出一致的二级业绩.
- 中级模型显示了基于场景和评估方法的可变性能;克劳德拒绝为未成年人生成计划,强调了道德问题.
结论:
- 人工智能工具显示出作为个性化营养和医疗保健支持工具的巨大潜力.
- 为了在饮食学中负责任地实施AI,需要标准化的伦理准则.
- 需要进一步的研究来解决实际限制,并确保人工智能产生的饮食建议的临床有效性.
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