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 ...

A team of Google researchers has published a paper in the Journal of the American Medical Association showing that Google's deep learning algorithm, trained on a large data set of fundus images, can ...

In a paper published by the research team of Ali Hafezi-Moghadam, MD, PhD at the Brigham and Women’s Hospital (BWH), a founding member of Mass General Brigham, authors introduced a biodegradable ...

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 ...

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 ...

In a significant move toward integrating artificial intelligence into preventive eye care, the All India Institute of Medical Sciences (AIIMS), along with the Union health ministry’s e-health division ...