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 ...

Smartphone-based retinal imaging captures postural vascular changes that may serve as early markers for diabetic retinopathy progression.

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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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 ...

Despite guidelines recommending annual screenings, nearly half of patients with diabetes miss critical eye exams, explains Jose A. Martinez, MD, president and retina specialist at Austin Retina ...

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 ...

Fundus photography involves taking a photo of the back of the eye to detect signs of diabetic retinopathy. It is also possible to capture an image of the retina using a smartphone. Diabetic ...

Diabetic retinopathy remains a leading cause of preventable vision loss, yet predicting which patients will experience disease progression remains challenging.

In a significant move toward integrating artificial intelligence into preventive eye care, the All India Institute of Medical Sciences (AIIMS), along with the Union health ministry’s e-health division ...