Ambrosy Lab

Kaiser Foundation Research Institute

Oakland · United States

NIH-funded
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NIH R01 · 2025

Harnessing Artificial Intelligence and Deep Learning to Determine a Coronary Artery Calcium Estimate in Patients with No History of AtheroSclerotic CardioVascular Disease (HIDDEN-ASCVD) Study

PROJECT SUMMARY/ ABSTRACT Data science advances have led to the emergence of opportunistic imaging screening – applying algorithms to screen for conditions from imaging performed for other purposes. Opportunistic screening for coronary artery calcium (CAC) is an ideal test case. CAC is the strongest predictor of atherosclerotic cardiovascular disease (ASCVD) and knowing one has CAC can be a powerful motivator of preventive behavior. However, <1% of potentially eligible patients receive electrocardiogram (ECG)-gated computed tomography (CT) scans to measure CAC. CAC can be identified on non-gated chest CTs, of which 19 million are performed annually in the U.S. We previously demonstrated…

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