As the only blood vessels that can directly be seen in the whole body, pathological changes
in retinal vessels are related to the metabolic state of the whole body and many systems …

Thrombosis of retinal veins is one of the most common retinal vascular diseases that may
lead to vascular blindness. The latest epidemiological data leave no illusions that the …

Introduction The steadily growing and aging world population, in conjunction with
continuously increasing prevalences of vision-threatening retinal diseases, is placing an …

The rapid development of computer science over the past few decades has led to
unprecedented progress in the field of artificial intelligence (AI). Its wide application in …

Deep learning techniques were used in ophthalmology to develop artificial intelligence (AI)
models for predicting the short-term effectiveness of anti-VEGF therapy in patients with …

The non-perfusion area (NPA) of the retina is an important indicator in the visual prognosis
of patients with branch retinal vein occlusion (BRVO). However, the current evaluation …

Diabetic retinopathy (DR), retinal vein occlusion (RVO), and age-related macular
degeneration (AMD) pose significant global health challenges, often resulting in vision …

Machine learning has transformed ophthalmology, particularly in predictive and
discriminatory models for vitreoretinal pathologies. However, generative modeling …

Artificial intelligence (AI) is becoming established as a new method for analysing
ophthalmological data, and unveiling new clinical and pathogenic insights into retinal …

Objective To demonstrate the capability of a deep learning model to detect central retinal
artery occlusion (CRAO), a retinal pathology with significant clinical urgency, using OCT …