Digitizing Neurology

Our Technology

Scroll

Overview

Our Computer Vision and Deep Learning algorithms enable remote measurement and monitoring of neurological disorders using oculometric data captured with a standard webcam or smartphone.

NeuraLight applies a proprietary and unique approach, combining Deep Learning with signal processing techniques (e.g., blind deconvolutions) to augment standard video resolution and attain sub-pixel accuracy. Our novel, patent-pending approach allows us to use video captured by any standard smartphone or webcam to measure objective and sensitive oculometric parameters as proxies to neurological assessment. In addition, we’re building the world’s largest proprietary, de-identified oculometric database to better train and benchmark our models.

The Science

More than 750 peer-reviewed papers have established that oculometric markers can be used to diagnose and predict neurological disorders.

Learn more