AI for cardiometabolic health:novel strategies for prevention and care
CHEN Wen-jia
SHI Jing
LI Yue
FU Yu
Abstract：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.
Keywords：cardiometabolic diseasesartificial intelligencewearable smart deviceslifecycle follow-up
Publication Date：2025-11-01
Online Publishing Date：2025-12-10(First online date of this platform, not the publication date of the document)
Pages：6( 893-898 )