Using artificial intelligence to analyse the retinal vascular network: the future of cardiovascular risk assessment based on oculomics? A narrative review
The healthcare burden of cardiovascular diseases remains a major issue worldwide.
Understanding the underlying mechanisms and improving identification of people with a …
Understanding the underlying mechanisms and improving identification of people with a …
An overview of deep-learning-based methods for cardiovascular risk assessment with retinal images
Cardiovascular diseases (CVDs) are one of the most prevalent causes of premature death.
Early detection is crucial to prevent and address CVDs in a timely manner. Recent advances …
Early detection is crucial to prevent and address CVDs in a timely manner. Recent advances …
[HTML][HTML] One-shot retinal artery and vein segmentation via cross-modality pretraining
Purpose To perform one-shot retinal artery and vein segmentation with cross-modality artery-
vein (AV) soft-label pretraining. Design Cross-sectional study. Subjects The study included …
vein (AV) soft-label pretraining. Design Cross-sectional study. Subjects The study included …
Translating color fundus photography to indocyanine green angiography using deep-learning for age-related macular degeneration screening
R Chen, W Zhang, F Song, H Yu, D Cao, Y Zheng… - NPJ digital …, 2024 - nature.com
Age-related macular degeneration (AMD) is the leading cause of central vision impairment
among the elderly. Effective and accurate AMD screening tools are urgently needed …
among the elderly. Effective and accurate AMD screening tools are urgently needed …
[HTML][HTML] Translation of color fundus photography into fluorescein angiography using deep learning for enhanced diabetic retinopathy screening
Purpose To develop and validate a deep learning model that can transform color fundus
(CF) photography into corresponding venous and late-phase fundus fluorescein …
(CF) photography into corresponding venous and late-phase fundus fluorescein …
Eyefound: a multimodal generalist foundation model for ophthalmic imaging
Artificial intelligence (AI) is vital in ophthalmology, tackling tasks like diagnosis,
classification, and visual question answering (VQA). However, existing AI models in this …
classification, and visual question answering (VQA). However, existing AI models in this …
GWAS-by-subtraction reveals an IOP-independent component of primary open angle glaucoma
The etiology of primary open angle glaucoma is constituted by both intraocular pressure-
dependent and intraocular pressure-independent mechanisms. However, GWASs of traits …
dependent and intraocular pressure-independent mechanisms. However, GWASs of traits …
FFA-GPT: an automated pipeline for fundus fluorescein angiography interpretation and question-answer
Fundus fluorescein angiography (FFA) is a crucial diagnostic tool for chorioretinal diseases,
but its interpretation requires significant expertise and time. Prior studies have used Artificial …
but its interpretation requires significant expertise and time. Prior studies have used Artificial …
Integrating oculomics with genomics reveals imaging biomarkers for preventive and personalized prediction of arterial aneurysms
Objective Arterial aneurysms are life-threatening but usually asymptomatic before requiring
hospitalization. Oculomics of retinal vascular features (RVFs) extracted from retinal fundus …
hospitalization. Oculomics of retinal vascular features (RVFs) extracted from retinal fundus …
ICGA-GPT: report generation and question answering for indocyanine green angiography images
X Chen, W Zhang, Z Zhao, P Xu, Y Zheng… - British Journal of …, 2024 - bjo.bmj.com
Background Indocyanine green angiography (ICGA) is vital for diagnosing chorioretinal
diseases, but its interpretation and patient communication require extensive expertise and …
diseases, but its interpretation and patient communication require extensive expertise and …