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 protein deposits.

Population-based studies have shown retinal disorders are the most common cause of irreversible blindness in developed countries and the second most common cause of blindness after cataracts in ...

An AI-powered model may help identify premature infants at risk for PH and BPD using noninvasive eye pictures, a study has found.

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 ...

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 ...

Please provide your email address to receive an email when new articles are posted on . The Bascom Palmer Eye Institute at University of Miami Miller School of Medicine has received $4.7 million from ...

The retina, as an accessible extension of the central nervous system, offers a unique window into the microvascular changes associated with Alzheimer’s disease. Recent studies have demonstrated that ...

The retina consumes oxygen at one of the highest rates of any tissue in the body, and disruptions in its oxygen supply are linked to blinding diseases such as glaucoma, age-related macular ...

Dr. Simonett specializes in the medical and surgical management of diseases of the retina and vitreous and conducts related clinical research. He has clinical expertise in caring for patients with ...