AI-Based Eye Tracker to Detect Alzheimer’s Disease
A SUNY Canton researcher has received a $50,000 grant to market an advanced eye-tracking system that analyzes data to identify subtle signs of neurodegeneration linked to Alzheimer’s disease. Assistant Professor Mehdi Ghayoumi’s project aims to develop a non-invasive and cost-effective diagnostic tool using machine learning techniques. The system captures complex patterns in eye movement data, … Read more