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 ...

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

AI-powered polarized retinal imaging detects protein deposits linked to neurodegenerative diseases, distinguishing ...

The new technology provides a better tool to evaluate age-related macular degeneration and other retinal diseases. Another day, another reminder that artificial intelligence in healthcare is gathering ...

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 ...

Scientists have developed a powerful new dual-imaging tool that maps the retina’s structure and oxygen use in unprecedented detail. This breakthrough could one day help doctors spot sight-stealing ...

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 ...

Forbes contributors publish independent expert analyses and insights. William A. Haseltine, Ph.D., covers genomics and regenerative medicine AI-powered retinal imaging closes healthcare gaps, enables ...

Over the past decades, computer scientists have developed increasingly sophisticated sensors and machine learning algorithms that allow computer systems to process and interpret images and videos.

The Korea Research Institute of Standards and Science (KRISS, President Lee Ho Seong) has developed a retina-mimicking eye phantom* that faithfully replicates the structural layers and microvascular ...