Diabetic screening capabilities are advancing as artificial intelligence cameras that detect diabetes are rolling out to ...

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 ...

AI-powered fundus cameras have been installed at all Cleveland Clinic Cole Eye Institute locations next to primary care ...

While artificial intelligence (AI)-assisted detection of diabetic retinopathy has the potential to expand access to screening, few patients with diabetes have been evaluated with the technology since ...

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 ...

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 ...

Fundoscopy can detect diabetic retinopathy. The exam involves a bright light shined into the eye, allowing an eye doctor to see any potential issues happening in the back of the eye. Share on ...