An accessible and efficient mobile eye-tracking application for community-based cognitive impairment screening in China.

ABSTRACT:

Background

Cognitive impairment (CI) poses a major global health challenge. In China, neuropsychological scales, regarded as the gold standard for cognitive diagnosis, are largely inaccessible in resource-limited communities. The Mobile Eye-Tracking Application (m-ETA), which captures and quantifies eye movement features, has emerged as a promising tool for CI screening.

Methods

We developed a tablet-based m-ETA using a two-step approach. First, a logistic regression (LR) model was trained to discriminate dementia based on six oculometric features in a hospital cohort (N = 204), and regression analyses were conducted to validate the biological relevance of these features with Alzheimer's Disease-related phenotypes in an exploratory dataset (N = 101). Second, the generalizabi

SUBMITTER: Wei M 

PROVIDER: S-EPMC12625592 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature