数字智能精确健康管理:慢性疾病预防和控制的综合框架
Yujia Ma1,2, Dafang Chen3,4, Jin Xie1,2
1Department of Non-communicable Chronic Disease Control and Prevention, Beijing Center for Disease Prevention and Control, Beijing 100013, China.
Biomedicines
|January 28, 2026
概括
数字智能精确健康管理为非传染性疾病 (NCD) 提供了一种积极的方法. 这个框架整合了持续传感,人工智能驱动的诊断和个性化干预,以获得更好的长期健康结果.
科学领域:
- 数字健康数字健康
- 精准医学是一门精准的医学.
- 医疗保健中的人工智能
背景情况:
- 非传染性疾病 (NCDs) 构成了全球重大健康挑战,目前以医院为中心的反应性护理模式因其复杂性而不足.
- 现有的医疗保健系统很难有效地管理非传染性疾病的长期,多因素方面.
- 数字技术,人工智能和精密医学的进步需要一种新的,综合的健康管理方法.
研究的目的:
- 引入和定义数字智能精密健康管理的框架.
- 探索这种综合健康管理方法的三个相互依存的维度.
- 综合最近的文献,检查挑战,并概述这个框架的未来方向.
主要方法:
- 使用连续数字传感,可穿戴设备,环境设备和多omics概况的多维健康相关的表型.
- 智能风险预警和早期诊断,利用机器学习进行动态风险预测和早期病理偏差检测.
- 通过智能决策来管理健康,结合数字双胞胎和人工智能健康代理来进行个性化干预和闭环管理.
主要成果:
- 该框架允许在现实环境中对个体健康状况进行全面的纵向表征.
- 先进的机器学习算法促进了动态风险预测和精细的疾病分层.
- 数字双胞胎和人工智能代理的整合支持个性化干预计划,虚拟模拟和自适应优化.
结论:
- 数字智能精确健康管理代表了从被动护理向主动,预测和以个人为中心的健康管理的范式转变.
- 这一综合框架通过利用技术和人工智能来解决传统NCD护理的局限性.
- 需要进一步的研究和伦理考虑,以便将这种框架嵌入到更广泛的医疗保健和人口健康系统中.
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