Health AI Central
Peer-Reviewed Publication
Arterioscler Thromb Vasc Biol2026October 15, 2026Journal Article

AI and Deep Learning in Cardiovascular Imaging: From Risk Stratification to Precision Phenotyping.

Kaiyue Diao1, Jiahua Lu1, Alexander Dimitrakakis1, Zelong Liu1, Zahi A Fayad1,2,3, Hao-Chih Lee1,2, Xueyan Mei1,2,3
1Biomedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY (K.D., J.L., A.D., Z.L., Z.A.F., H.-C.L., X.M.).
2Department of Diagnostic, Molecular and Interventional Radiology (Z.A.F., H.-C.L., X.M.), Icahn School of Medicine at Mount Sinai, New York, NY.
3Windreich Department of Artificial Intelligence and Human Health (Z.A.F., X.M.), Icahn School of Medicine at Mount Sinai, New York, NY.
PubMed DOI

Abstract

Cardiovascular imaging plays a central role in the diagnosis, risk stratification, and management of cardiovascular disease, yet the complexity and volume of imaging data increasingly exceed the capacity of conventional interpretation. Artificial intelligence (AI) and deep learning offer new tools to extract quantitative, prognostic, and phenotypic information from routine cardiovascular images. T…

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