Background Coronary artery calcium (CAC) score is a clinically validated marker of
cardiovascular disease risk. We developed and validated a novel cardiovascular risk …

Purpose: To evaluate high accumulation of coronary artery calcium (CAC) from retinal
fundus images with deep learning technologies as an inexpensive and radiation-free …

Objectives The aim of this study was to evaluate whether machine learning (ML) of
noncontrast computed tomographic (CT) and clinical variables improves the prediction of …

Background The application of deep learning to retinal photographs has yielded promising
results in predicting age, sex, blood pressure, and haematological parameters. However, the …

Background Coronary artery calcium (CAC) is a strong predictor of cardiovascular events
across all racial and ethnic groups. CAC can be quantified on nonelectrocardiography …

Coronary artery disease (CAD), the most common manifestation of cardiovascular disease,
remains the most common cause of mortality in the United States. Risk assessment is key for …

Objectives This study sought to assess the effect of coronary artery calcium (CAC) on
coronary heart disease (CHD) risk prediction in a younger population. Background CAC …

Objectives This study compared risk discrimination for the prediction of coronary heart
disease (CHD) and cardiovascular disease (CVD) deaths for the Pooled Cohort Equations …

Background Elevated coronary artery calcium (CAC) scores in subjects without prior
atherosclerotic cardiovascular disease (ASCVD) have been shown to be associated with …

Objective This study aimed to validate a deep learning-based fully automatic calcium
scoring (coronary artery calcium [CAC] _auto) system using previously published cardiac …