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CVD
Conference Abstract
EXPLORING THE UTILITY OF A CVD RISK PREDICTING RETINAL AI MODEL IN IDENTIFYING CACS OVER 400 IN PATIENTS WITH AND WITHOUT DIABETES
American Journal of Preventive Cardiology
September, 2025
CVD
Conference Abstract
CARDIOVASCULAR RISK ASSESSED VIA RETINAL IMAGING IN METABOLICALLY HEALTHY OBESITY (MHO) AND METABOLICALLY HEALTHY OVERWEIGHT (MHOW)
American Journal of Preventive Cardiology
September, 2025
CVD
Conference Abstract
METABOLICALLY UNHEALTHY NORMAL WEIGHT (MUN) INDIVIDUALS ASSOCIATED WITH ELEVATED CARDIOVASCULAR DISEASE RISK SCORES DERIVED FROM RETINAL IMAGING
American Journal of Preventive Cardiology
September, 2025
CVD
AI
Citation
The year in cardiovascular medicine 2021: digital health and innovation
European Heart Journal
January, 2022
CVD
AI
Citation
Artificial intelligence-enhanced patient evaluation: bridging art and science
European Heart Journal
July, 2024
CVD
Original Paper
Quantifying the repeatability and reproducibility of Dr.Noon CVD, an artificial intelligence software as medical device for cardiovascular risk assessment via retinal imaging
Canadian Ophthalmological Society
August, 2025
CVD
Original Paper
The distribution of artificial intelligence–derived retinal cardiovascular risk scores and conventional risk factors in two Korean health screening cohorts: a descriptive study
Cardiovasc Prev Pharmacother
July, 2025
CVD
Conference Abstract
AI-Driven Retinal Imaging for Cardiovascular Risk Stratification in Diabetes—Findings from Ret-CAC Screening at GluCare
ADA Scientific Sessions Abstract
July, 2025
CVD
Conference Abstract
Enhancing Cardiovascular Disease (CVD) Risk Prediction Using Metabolic Profiling in the UK Biobank—Pooled Cohort Equations vs. Retinal Imaging Based Dr. Noon CVD
ADA Scientific Sessions Abstract
July, 2025
Oculomics
Conference Abstract
Diabetes Prediction without Blood Tests—The Role of Retinal Imaging and Artificial Intelligence
ADA Scientific Sessions Abstract
July, 2025
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