Researchers have developed a miniature optical fiber biosensor capable of detecting key biomarkers of diabetic retinopathy ...

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 ...

Share on Facebook. Opens in a new tab or window Share on Bluesky. Opens in a new tab or window Share on X. Opens in a new tab or window Share on LinkedIn. Opens in a new tab or window While artificial ...

Despite its underutilization, AI-powered diabetic retinopathy screening was associated with greater OCT referral rates than traditional screening methods. Artificial intelligence (AI)-based diabetic ...

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 ...

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 ...

NEW YORK, July 15, 2025 /PRNewswire/ -- Artificial Intelligence (AI) algorithms are revolutionizing the way retina images are analyzed for detecting conditions such as age-related macular degeneration ...

Diabetic retinopathy remains a leading cause of preventable vision loss, yet predicting which patients will experience disease progression remains ...

Diabetic retinopathy develops through complex microvascular damage driven by chronic hyperglycemia, yet traditional risk ...