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 ...
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 ...
Objectives To characterise engagement across the diabetic retinopathy (DR) care continuum in the USA using a cascade-of-care framework and identify gaps contributing to preventable vision loss. Design ...
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 ...
Worldwide there are 422 million people living with diabetes, according to World Health Organization estimates. The condition can lead complications, including diabetic retinopathy, which can result in ...
In a study exploring how an AI-assisted diagnostic tool shaped care for underserved populations at multiple community-based ...
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 ...
Regular eye exams are important in detecting early signs of diabetic retinopathy to prevent vision loss. Since diabetic retinopathy doesn’t cause symptoms in its early stages, diagnostic testing can ...
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