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Artificial-intelligence-assisted CCTA quantifies sex differences in coronary atherosclerotic burden at low atheroma

Zoee D'Costa1, Ronald P Karlsberg1,2,3, Geoffrey W Cho1,3

  • 1David Geffen School of Medicine at the University of California Los Angeles, United States.

International Journal of Cardiology. Heart & Vasculature
|August 5, 2025
PubMed
Abstract

Keywords:
Artificial intelligenceCardiovascular risk stratificationCoronary atheroma volumeCoronary computed tomography angiographyNon-calcified plaquePlaque compositionSex differences

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