应用人工智能技术作为促进老年人健康饮食和营养的干预措施:系统文献综述
Kingsley Arua Kalu1, Grace Ataguba2, Oyepeju Onifade3
1Food Science & Nutrition, School of Science, Translational Health Research Institute, Western Sydney University, Richmond, NSW 2753, Australia.
Nutrients
|October 29, 2025
概括
人工智能 (AI) 通过提供个性化干预来改善老年人营养的承诺. 然而,需要更多的研究来解决伦理问题和健康衰老的长期有效性.
科学领域:
- 老年学是指老年学的学科.
- 营养科学 营养科学
- 人工智能的人工智能
背景情况:
- 老龄化人口面临由于生理变化的营养挑战,增加营养不良的风险.
- 促进健康饮食对于老年人的福祉和预防慢性疾病至关重要.
- 人工智能 (AI) 为老年人提供了个性化,可扩展的饮食干预的潜力.
研究的目的:
- 系统地审查基于人工智能的干预措施的有效性,以改善老年人的饮食行为和营养结果.
- 综合人工智能技术如机器学习和自然语言处理在老年营养中的当前应用.
- 识别人工智能驱动的对老龄人口的营养支持方面的差距和挑战.
主要方法:
- 按照PRISMA 2020指南进行系统的文献审查.
- 从五个数据库分析了2015-2025年间发表的30项研究.
- 包括使用机器学习,自然语言处理和推系统的研究.
主要成果:
- 人工智能干预显示出提高老年人参与度和遵守健康饮食准则的潜力.
- 确定的挑战包括道德问题 (隐私,透明度) 和关于长期有效性的有限证据.
- 人工智能可以为老年人提供个性化,适应性和可扩展的饮食支持.
结论:
- 基于人工智能的干预措施对促进老年人健康饮食具有重大前景.
- 方法上的局限性和道德上的考虑需要进一步的研究.
- 未来的人工智能干预应具有包容性,基于证据,并满足老年人的整体需求.
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