In this interview, industry expert Dr. Yifan Jian discusses advancements in ultrawide-field optical coherence tomography (OCT), challenges in retinal imaging, AI’s role in biophotonics, and the future ...

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, ...

Forbes contributors publish independent expert analyses and insights. This story is part of a series on the current progression in Regenerative Medicine. This piece is part of a series dedicated to ...

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 ...

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

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, ...

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 ...

Faster thinning of cpRNFL and mGCIPL is associated with visual field progression in glaucoma, with rates of –1.02 and –1.04 ...