Award
NIH Reporter #1R01HL173866-01A1
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
Recipient
National Heart Lung and Blood Institute (NHLBI)
Award Amount
$3,918,561.00
Ceiling
$3,918,561.00
Awarded
September 27, 2025
Identifier
1R01HL173866-01A1
Research project funded by the National Heart Lung and Blood Institute to develop AI and deep learning methods for estimating coronary artery calcium in patients without prior cardiovascular disease, aiming to improve screening and treatment strategies.
Description
This project aims to utilize artificial intelligence and deep learning algorithms to estimate coronary artery calcium (CAC) in patients without prior atherosclerotic cardiovascular disease (ASCVD). The study will validate and adapt existing deep learning models to contrast-enhanced CT scans, describe the epidemiology of CAC in a diverse population, and test notification strategies to improve statin prescription rates while minimizing patient anxiety. The research is conducted within Kaiser Permanente Northern California, serving over 4.5 million members with broad racial and ethnic diversity.