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 (DR) is a leading cause of vision-threatening conditions worldwide. In clinical settings, the automated identification of DR using Multicolor Imaging (MCI) is critical for ...

Diabetic retinopathy (DR) diagnosis from digital fundus images is a long-standing topic of research in medical image processing. The determination of optic disk boundaries in two-dimensional retinal ...

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 ...

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 ...

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 ...

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 ...

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 ...

This article is part of “Innovations In: Type 1 Diabetes”, an editorially independent special report that was produced with financial support from Vertex. Sterling Glass had many health problems as a ...