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 ...

Schulman, Ph.D. We have known for some time that changes in the eye may help detect Alzheimer’s disease — a type of dementia affecting about 32 million people globally. Previous research has linked ...

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

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 ...

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 ...

Uveitis is a rare inflammatory eye disease. Posterior and panuveitis in particular are associated with a poor prognosis and a protracted course of the disease. Diagnosis and monitoring can be ...

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 . Nearly half of horseshoe tears were not visualized on ultra-widefield imaging. The sensitivity of ...

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.

NEW YORK--(BUSINESS WIRE)--iPredict TM glaucoma detection model provides a fully automated detection report for glaucoma which can be implemented in the primary care settings for screening and ...