By Hugo Francisco de Souza Using high-resolution retinal images, a novel AI model detects Alzheimer’s disease and mild cognitive impairment early, offering hope for more timely, noninvasive, and ...

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 ...

Noninvasive retinal imaging may improve early detection of Alzheimer's disease. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2017 / 08 / 170817092729.htm ...

Alzheimer's researchers are widening the scope of biomarkers used to detect Alzheimer's and dementia. In a recent research update, the Alzheimer's Association announced saliva, skin and retinal ...

A new brain health service in Hong Kong utilises retinal imaging AI for predicting Alzheimer's disease risk, touted as the first of its kind in the world. Humansa, a longevity-focused health and ...

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.

Deep learning–based method can ... disease and 26,892 images from 8,456 patients without Alzheimer's ... of deep learning studies for Alzheimer's detection from brain ...

Researchers developed an AI-based deep learning model that uses retinal images to detect early-stage Alzheimer's disease and mild cognitive impairment with high accuracy, offering a noninvasive ...