The advent of deep learning in ophthalmology has revolutionised the detection and diagnosis of diabetic retinopathy (DR). By utilising convolutional neural networks (CNNs) and advanced ...
Aims To evaluate whether predominantly peripheral lesions (PPLs) and other imaging biomarkers on ultra-widefield (UWF) ...
Only a small proportion of patients with diabetes have undergone artificial intelligence (AI)–based screening for diabetic retinopathy since 2021, despite approval from the US Food and Drug ...
Julie Rodman, OD, MS, FAAO, discusses how optical coherence tomography angiography (OCT-A) can be used to diagnose and manage diabetic retinopathy. Julie Rodman, OD, MS, FAAO, clinic chief at Nova ...
This article is part of “Innovations In: Type 1 Diabetes”, an editorially independent special report that was produced with financial support from Vertex. Sterling Glass had many health problems as a ...
Intraretinal microvascular abnormalities (IRMAs) are abnormal branching, or dilation, of the blood vessels in the retina. It occurs as a complication of diabetic retinopathy. Diabetic retinopathy ...
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