The imaging system uses a special diffuser that captures 3D light information from the retina during imaging. With this data, computer software can reconstruct and refocus images after they are taken.

Reported accuracies were 86% (Random Forest) and 96% (convolutional neural networks), positioning retinal imaging as a candidate scalable tool for underserved populations. AI-powered polarized-light ...

The authors have no relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in ...

Researchers at the National Institutes of Health have applied artificial intelligence (AI) to a technique that produces high-resolution images of cells in the eye. They report that with AI, imaging is ...

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 ...

Poor retinal health in midlife was associated with significantly higher risk for Alzheimer’s disease and related dementias (ADRD) later in life, a new study showed. Investigators say the findings ...

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 ...

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 ...

Researchers develop a 96% accurate AI-powered retinal scan to distinguish between Alzheimer’s and ALS by detecting specific protein deposits.

Retinal imaging takes a digital picture of the back of your eye. It shows the retina (where light and images hit), the optic disc (a spot on the retina that holds the optic nerve, which sends ...