AHA Scientific Session Abstract

Validation of deep-learning-based retinal biomarker (Reti-CVD) in the prediction of cardiovascular disease: data from US AREDS

Nov 16, 2022 | AHA Scientific Session Abstract

AHA Scientific Session Abstract, November 2022 Background In our previous study, we developed a deep-learning-based novel cardiovascular disease (CVD) risk stratification system based on retinal photographs, Reti-CVD. This study aims to further validate Reti-CVD in...

Validation of a deep-learning-based retinal biomarker (RetiCVD) in the prediction of cardiovascular disease: data from UK Biobank

Nov 16, 2022 | AHA Scientific Session Abstract

AHA Scientific Session Abstract, November 2022 Introduction Currently in the United Kingdom, cardiovascular disease (CVD) risk assessment is based on the QRISK3 score, with a benchmark of 10% for 10-year CVD risk determining clinical intervention. Yet, effects on...

Pivotal trial of a deep-learning-based retinal biomarker (Reti-CVD) in the prediction of cardiovascular disease: data from CMERC-HI

Nov 16, 2022 | AHA Scientific Session Abstract

AHA Scientific Session Abstract, November 2022 Introduction The Korean Ministry of Food and Drug Safety (K-MFDS) has authorized over 110 artificial intelligence (AI)-software as medical devices (AI-SaMDs) for diagnostic purposes. Herein, we clinically validate the...