Eye scans looking at retinal texture might be able to predict risk of vision loss among people with type 2 diabetes Lab rats with diabetes experienced specific changes in the texture of their retinas ...

Researchers at the National Eye Institute (NEI), part of the US National Institutes of Health, have applied a particular artificial intelligence approach to OCT imaging of the retina. The research, ...

By utilizing three wavelength channels, as well as OCT scanning, the Optos Silverstone RGB retinal imaging device allows for ...

An AI segmentation system was able to identify changes in retinal segmented features based on optical coherence tomography (OCT) images. Diagnosing and monitoring retinal diseases is done through OCT, ...

Mass Eye and Ear physician-researchers show that retinal imaging can help predict a person’s risk of developing ocular, neuropsychiatric, cardiac, metabolic, and pulmonary diseases. The team also ...

Diabetic retinopathy (DR) is a leading cause of blindness among working-age adults, affecting more than 130 million people worldwide. Although advances in ophthalmic imaging have improved disease ...

Researchers applied artificial intelligence (AI) to a technique that produces high-resolution images of cells in the eye. They report that with AI, imaging is 100 times faster and improves image ...

Vessel density in the deep capillary plexus reflects disease activity and structural involvement in thyroid eye disease.