摘要
心血管代谢性疾病严重威胁人类健康,已成为中国面临的重大公共卫生问题。人工智能通过整合基因组学、代谢组学、影像学、电子健康记录以及智能监测设备产生的实时数据,突破传统单维度分析的局限,能够构建个体化动态模型,为心血管代谢性疾病的预防和管理提供了重要契机。从早期预警、筛查诊断到治疗策略的优化,人工智能依托数字化监测管理体系,制定个性化策略,识别疾病风险,预测疾病发生,从而实现早期积极干预。文章探讨并总结了当前人工智能在心血管代谢疾病领域的应用和未来前景,以探索其在疾病防控中的新途径。
Cardiometabolic diseases pose a serious threat to human health and have become a major public health issue in China.By integrating genomics,metabolomics,imaging,electronic health records,and real-time data from smart monitoring devices,artificial intelligence overcomes the limitations of traditional single-dimensional analysis and enables the construction of personalized dynamic models.This offers significant opportunities for the prevention and management of cardiometabolic diseases.From early warning,screening,and diagnosis to optimization of treatment strategies,AI leverages digital monitoring and management systems to develop personalized approaches,identify disease risks,predict disease onset,and achieve early intervention.This article explores and summarizes the current applications and future prospects of artificial intelligence in the field of cardiometabolic diseases,aiming to uncover new pathways for AI in disease prevention and control.
作者
陈文佳
石静
李悦
傅羽
CHEN Wen-jia;SHI Jing;LI Yue;FU Yu(The First Affiliated Hospital of Harbin Medical University,Harbin 150001,China)
出处
《中国实用内科杂志》
北大核心
2025年第11期893-898,共6页
Chinese Journal of Practical Internal Medicine
基金
国家重点研发计划(2024YFA1307000)
黑龙江省重点研发计划项目创新基地(JD2023SJ44)。
