The distribution of artificial intelligence–derived retinal cardiovascular risk scores and conventional risk factors in two Korean health screening cohorts: a descriptive study

Jul 29, 2025 | Cardiovascular Prevention and Pharmacotherapy, Publication

Cardiovascular Prevention and Pharmacotherapyㅣ July 2025   ABSTRACT Background Although retinal imaging–based artificial intelligence (AI) tools have recently been introduced for cardiovascular disease (CVD) risk assessment, little is known about the distribution of...

Effect of Statin Therapy on Cardiovascular Events in High-Risk Group Identified by a Coronary Artery Calcium-Trained Deep Learning Model Using Retinal Imaging: A Propensity Score-Matched Study from the UK Biobank

Nov 25, 2024 | AHA Scientific Session Abstract

AHAㅣ 2024-11-11   Abstract Introduction: Cardiovascular disease (CVD) remains the leading cause of mortality globally, necessitating improved risk stratification and preventive strategies. Reti-CVD, a deep learning model, predicts CVD risk by analyzing retinal...