Researchers have developed a miniature optical fiber biosensor capable of detecting key biomarkers of diabetic retinopathy ...
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 ...
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Posture-induced retinal vascular response predicts diabetic retinopathy progression
Diabetic retinopathy develops through complex microvascular damage driven by chronic hyperglycemia, yet traditional risk factors such as disease duration or glycemic control explain only part of ...
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 ...
Despite its underutilization, AI-powered diabetic retinopathy screening was associated with greater OCT referral rates than traditional screening methods. Artificial intelligence (AI)-based diabetic ...
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 ...
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, ...
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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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