人工智能应用于个性化的饮食建议:系统性审查
Xi Wang1, Zhiyuan Sun2, Hong Xue3
1Brown School, Washington University in St. Louis, St. Louis, MO 63130, USA.
Healthcare (Basel, Switzerland)
|June 26, 2025
概括
人工智能 (AI) 的饮食计划改善了慢性病的管理,为更好的健康结果提供了个性化的营养. 人工智能干预显示,糖尿病缓解和刺激性肠综合征症状严重性的显著改善.
科学领域:
- 精准医学是一门精准的医学.
- 计算生物学 计算生物学
- 营养科学 营养科学
背景情况:
- 个性化的饮食建议对于管理糖尿病和易怒肠综合征 (IBS) 等慢性疾病至关重要.
- 传统的饮食方法往往无法解决个体代谢变异.
- 人工智能 (AI) 提供了一种新的方法来定制饮食干预措施.
研究的目的:
- 系统地审查人工智能产生的饮食干预措施在改善成人临床结果的有效性.
- 评估人工智能对代谢健康,血糖控制和心理健康的影响.
主要方法:
- 根据PRISMA指南,对六个数据库进行了系统审查.
- 包括2015年11月至2024年9月期间发表的涉及接受AI饮食建议的成年人 (18-91岁) 的研究.
- 包括的研究设计是随机对照试验 (RCT),前后研究和横截面分析,证据质量使用GRADE系统进行评估.
主要成果:
- 十一项研究 (五项RCT,五项前后,一项横截面) 符合标准,主要使用机器学习 (ML) 和深度学习 (DL) 算法.
- 人工智能干预在血糖控制,代谢健康和心理健康方面显著改善.
- 关键结果包括IBS症状严重程度减少39%,糖尿病缓解率降低72.7%,大多数比较研究表明AI群体优越.
结论:
- 通过提供个性化,数据驱动的营养建议,人工智能产生的饮食干预措施在传统方法上显示出显著的希望.
- 需要进一步的研究来证实长期的疗效,优化干预策略,并改善患者的坚持.
- 人工智能有可能在临床和公共卫生环境中推进慢性疾病管理.
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