Emerging AI tools for geospatially resolved cardiovascular risk

Zhuo Chen; Jean Eudes Dazard; Salil Deo; Sadeer Al-Kindi; Sanjay Rajagopalan

doi:10.1038/s41569-025-01204-4

Emerging AI tools for geospatially resolved cardiovascular risk

Zhuo Chen, Jean Eudes Dazard, Salil Deo, Sadeer Al-Kindi, Sanjay Rajagopalan

Research output: Contribution to journal › Article › peer-review

Abstract

Artificial intelligence (AI) technologies are revolutionizing cardiovascular health by analysing environmental factors at an unprecedented scale. Geospatial AI integrates vast datasets — from satellite imagery down to street-level views — to identify complex risk patterns, which enables personalized predictions and guides precision interventions to mitigate the environmental burden of disease.

Original language	English (US)
Pages (from-to)	697-699
Number of pages	3
Journal	Nature Reviews Cardiology
Volume	22
Issue number	10
DOIs	https://doi.org/10.1038/s41569-025-01204-4
State	Published - Aug 14 2025

ASJC Scopus subject areas

Cardiology and Cardiovascular Medicine

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10.1038/s41569-025-01204-4

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abstract = "Artificial intelligence (AI) technologies are revolutionizing cardiovascular health by analysing environmental factors at an unprecedented scale. Geospatial AI integrates vast datasets — from satellite imagery down to street-level views — to identify complex risk patterns, which enables personalized predictions and guides precision interventions to mitigate the environmental burden of disease.",

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Emerging AI tools for geospatially resolved cardiovascular risk

Abstract

ASJC Scopus subject areas

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