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 ...
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 ...
Diabetic retinopathy remains a leading cause of preventable vision loss, yet predicting which patients will experience disease progression remains ...
Despite its underutilization, AI-powered diabetic retinopathy screening was associated with greater OCT referral rates than traditional screening methods. Artificial intelligence (AI)-based diabetic ...
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Please provide your email address to receive an email when new articles are posted on . “OCT-A is a new, noninvasive diagnostic technique for visualizing the retinal vasculature in the macular region, ...
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 ...
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