Integrating oculomics with genomics reveals imaging biomarkers for preventive and personalized prediction of arterial aneurysms

Y Huang, C Li, D Shi, H Wang, X Shang, W Wang… - EPMA Journal, 2023 - Springer
Objective Arterial aneurysms are life-threatening but usually asymptomatic before requiring
hospitalization. Oculomics of retinal vascular features (RVFs) extracted from retinal fundus …

Using Artificial Intelligence to Analyse the Retinal Vascular Network: The Future of Cardiovascular Risk Assessment Based on Oculomics? A Narrative Review

L Arnould, F Meriaudeau, C Guenancia… - Ophthalmology and …, 2023 - Springer
The healthcare burden of cardiovascular diseases remains a major issue worldwide.
Understanding the underlying mechanisms and improving identification of people with a …

Deep learning of the retina enables phenome-and genome-wide analyses of the microvasculature

SM Zekavat, VK Raghu, M Trinder, Y Ye, S Koyama… - Circulation, 2022 - Am Heart Assoc
Background: The microvasculature, the smallest blood vessels in the body, has key roles in
maintenance of organ health and tumorigenesis. The retinal fundus is a window for human …

Automated Retinal Vessel Analysis Based on Fundus Photographs as a Predictor for Non-Ophthalmic Diseases—Evolution and Perspectives

C Danielescu, MG Dabija, AH Nedelcu… - Journal of Personalized …, 2023 - mdpi.com
The study of retinal vessels in relation to cardiovascular risk has a long history. The advent
of a dedicated tool based on digital imaging, ie, the retinal vessel analyzer, and also other …

Artificial intelligence in retinal imaging for cardiovascular disease prediction: current trends and future directions

DYL Wong, MC Lam, A Ran… - Current Opinion in …, 2022 - journals.lww.com
Artificial intelligence based retinal microvasculature analysis may supplement existing CVD
risk stratification approach. Although technical and socioeconomic challenges remain, we …

Artificial intelligence-enabled retinal vasculometry for prediction of circulatory mortality, myocardial infarction and stroke

AR Rudnicka, R Welikala, S Barman… - British Journal of …, 2022 - bjo.bmj.com
Aims We examine whether inclusion of artificial intelligence (AI)-enabled retinal
vasculometry (RV) improves existing risk algorithms for incident stroke, myocardial infarction …

AI-integrated ocular imaging for predicting cardiovascular disease: advancements and future outlook

Y Huang, CY Cheung, D Li, YC Tham, B Sheng… - Eye, 2024 - nature.com
Cardiovascular disease (CVD) remains the leading cause of death worldwide. Assessing of
CVD risk plays an essential role in identifying individuals at higher risk and enables the …

Detection of systemic cardiovascular illnesses and cardiometabolic risk factors with machine learning and optical coherence tomography angiography: A pilot study

S Huang, S Bacchi, WO Chan, C Macri, D Selva… - Eye, 2023 - nature.com
Abstract Background/Objectives Optical coherence tomography angiography (OCTA) has
been found to identify changes in the retinal microvasculature of people with various …

Novel retinal imaging in assessment of cardiovascular risk factors and systemic vascular diseases

DSW Ting, L Peng, AV Varadarajan… - Diabetic retinopathy and …, 2019 - karger.com
The eye is the only organ that allows direct visualization of the systemic neuro-vasculature
using non-invasive imaging modalities, providing invaluable microstructural changes that …

Automated analysis of vessel morphometry in retinal images from a Danish high street optician setting

J Freiberg, RA Welikala, J Rovelt, CG Owen… - Plos one, 2023 - journals.plos.org
Purpose To evaluate the test performance of the QUARTZ (QUantitative Analysis of Retinal
vessel Topology and siZe) software in detecting retinal features from retinal images captured …