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 ...

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 ...

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 ...

New research out of Thailand found that a deep learning algorithm was able to diabetic retinopathy in patients with diabetes on par with community specialists, according to a study published in The ...

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 ...

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 ...

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 ...

According to the Centers for Disease Control (CDC), one in four American adults with vision loss reported anxiety or depression. Moreover, vision loss has been linked to fear, anxiety, worry, social ...

In a recent study published in BMC Medicine, researchers identified diabetic individuals among populations with normal fasting glucose using common physical examination indexes via machine learning ...