DURHAM, N.C. – A machine learning model developed by Duke Health researchers can differentiate normal cognition from mild cognitive impairment using retinal images from the eye. The model analyzes ...

An AI segmentation system was able to identify changes in retinal segmented features based on optical coherence tomography (OCT) images. Diagnosing and monitoring retinal diseases is done through OCT, ...

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 ...

Using an algorithm developed by Duke researchers, scientists were able to correctly identify retinal scans of people with mild cognitive impairment about 79% of the time. File photo Researchers have ...

The Korea Research Institute of Standards and Science (KRISS) has developed a retina-mimicking eye phantom that faithfully ...

Regular eye exams are important in detecting early signs of diabetic retinopathy to prevent vision loss. Since diabetic retinopathy doesn’t cause symptoms in its early stages, diagnostic testing can ...

CommonSpirit Mercy Primary Care has acquired two retinal scanning machines that allow providers to screen diabetic patients for vision loss during regular exams. Diabetic retinopathy – the term for ...

A European research consortium is exploring a new quantum imaging technique that could one day help clinicians see the earliest signs of eye disease. Developed under the €4.5 million Horizon ...

Changes in retinal tissues known to be associated with Parkinson's disease (PD) may occur up to 7 years before clinical symptoms of the disease appear, a new study suggests. Researchers used ...

Abnormal retinal microvasculature on ophthalmic OCT angiography was associated with subclinical coronary atherosclerosis on coronary CT angiography in a cohort study. Retinal indicators observed on ...