关于动脉样硬化症的饮食干预中的人工智能和健康不平等:叙述性审查
Dominique J Monlezun1,2,3,4,5, Keir MacKay1
1Department of Hospital Internal Medicine, Mayo Clinic, Rochester, MN 55905, USA.
Nutrients
|August 29, 2024
概括
糟糕的饮食导致每年1100万人死亡,其中一半来自动脉样硬化心血管疾病 (ASCVD). 人工智能 (AI) 可以改善ASCVD的健康饮食干预措施和公共卫生政策,促进健康公平.
科学领域:
- 营养科学 营养科学
- 公共卫生 公共卫生
- 人工智能在医学中的应用
背景情况:
- 糟糕的饮食是全球领先的可修改死亡风险因素,每年造成1100万人的死亡,其中一半与动脉样硬化心血管疾病 (ASCVD) 有关.
- 全球粮食系统的隐性成本每年超过13万亿美元,使得大多数人无法负担健康饮食,加剧了ASCVD的临床,金融和生态负担.
- 人工智能 (AI) 提供了一个变革性的机会,以加强医学和公共卫生领域的多部门努力,以应对与饮食有关的健康挑战.
研究的目的:
- 为ASCVD中健康饮食提供最先进的临床干预和公共卫生政策的首个全面概述,以健康公平为重点的人工智能加速.
- 从实践者的角度提供见解,增强卫生专业人员和数据科学家的相关性.
- 总结AI在ASCVD饮食干预中的新兴趋势和领先的使用案例.
主要方法:
- 叙事综述综合了当前的研究和应用.
- 专注于以健康公平为导向的AI应用在营养和ASCVD领域.
- 探索AI在风险分层,精确公共卫生,诊断,营养和医学教育方面的作用.
主要成果:
- 人工智能正在促进人口健康风险分层和ASCVD的精确公共卫生战略的进步.
- 人工智能正在使临床诊断民主化,并通过数字双胞胎等工具促进精准营养.
- 人工智能支持的医学正在成为医学教育和患者治疗的新方法.
结论:
- 人工智能集成可以催化更有效,更高效,更公平的ASCVD饮食和营养干预措施.
- 本综述为利用人工智能在公共卫生和临床实践中为ASCVD预防和管理提供了基于证据的基础.
- 这些发现支持人工智能驱动的解决方案的发展,以打击与饮食相关的ASCVD的全球负担.
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