Tiarnan Keenan, NEI Division of Epidemiology and Clinical Applications, and colleagues found that people with age-related macular degeneration (AMD) can successfully use the Notal Home OCT device to monitor their disease.

A new combination of optical coherence tomography (OCT), adaptive optics and deep neural networks should enable better diagnosis and monitoring for neuron-damaging eye and brain diseases like glaucoma.

Researchers at Keck School of Medicine of USC develop signals that could bring color vision and improved clarity to prosthesis for the blind.

Training neural networks to perform tasks, such as recognizing images or navigating self-driving cars, could one day require less computing power and hardware thanks to a new artificial neuron device.

Researchers from UW Medicine have found that artificial intelligence-based screening algorithms to diagnose diabetic retinopathy do not perform as well as they claim.

The IQA is a software system intended for use in importing, displaying, analyzing and managing images acquired with digital fundus cameras. The patented software detects the most common causes of retinal imaging artifacts.

New York University researchers created a “developmental atlas” of gene expression in neurons, using gene sequencing and machine learning to categorize more than 250,000 neurons in the brains of fruit flies.

A new paper in Current Biology details how neurons in area V4, the first stage specific to the brain’s object vision pathway, represent 3D shape fragments, not just the 2D shapes used to study V4 for the last 40 years.

Researchers have developed a neural network capable of recognizing retinal tissues during the process of their differentiation in a dish.

Caltech researchers have combined tools from machine learning and neuroscience to discover that the brain uses a mathematical system to organize visual objects according to their principal components. The work was published June 3 in Nature.