“Our results demonstrate that texture analysis can uncover minute retinal changes long before diabetic retinopathy becomes ...

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 ...

Researchers at the National Institutes of Health (NIH) have developed a novel artificial intelligence and imaging method for retinal scans that reduces the amount of data needed by three-fourths, ...

Forbes contributors publish independent expert analyses and insights. This story is part of a series on the current progression in Regenerative Medicine. This piece is part of a series dedicated to ...

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 ...

Seeking adults (age 18 and up) willing to dedicate approximately 10 hours to delineating a series of retinal image scans. Participants will be expected to utilize MATLAB on their personal computer to ...

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 ...

Multimodal imaging, including OCT and FAF, is crucial for differentiating between AMD and IRDs, enabling precise diagnosis.

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 ...

Thinner retinal layers were associated with a long list of major diseases, including pulmonary and cardiac disorders, according to a phenotypic and genomic analysis. Among the many diseases, each ...