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 ...
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 ...
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 ...
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 ...
Out of the 422 million people around the world living with diabetes, one in three of them will develop diabetic retinopathy (DR), a common condition that can lead to permanent blindness if left ...
Despite guidelines recommending annual screenings, nearly half of patients with diabetes miss critical eye exams, explains Jose A. Martinez, MD, president and retina specialist at Austin Retina ...
Regular eye exams are important in detecting early signs of diabetic retinopathy to prevent vision loss. Since diabetic retinopathy doesn’t cause symptoms in its early stages, diagnostic testing can ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback