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 ...

Please provide your email address to receive an email when new articles are posted on . The machine-learning model successfully identified all eyes with mild NPDR that progressed within 1 year. The ...

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 ...

This story is part of a series on the current progression in Regenerative Medicine. This piece is part of a series dedicated to the eye and improvements in restoring vision. This piece also marks part ...

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 ...

Here are 18 studies and reports from the month of June regarding the use of artificial intelligence in medicine, beginning with the most recent: 1. Researchers from New York City's Columbia University ...

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 ...

Diabetic retinopathy is an irreversible condition that damages the eye’s retina and can lead to vision loss. It occurs as a potential complication of diabetes from prolonged periods of hyperglycemia.