An AI-Powered Solution Supporting Early Detection of Visual Cognitive Processing Impairments
A non-invasive eye-tracking solution that supports early detection and faster intervention, delivering objective data to validate treatment effectiveness.

– Earlier detection of Symptoms which may lead to chronic disability
– Better Outcomes
– Quick, Easy and Non-Invasive Testing
– Video Playback and Reporting of Test Results
– Lower Costs and System Benefits
(This animation shows the results of an efficient and distracted test subject)
By tracking eye movements and comparing to baseline data as well as AI-powered healthy state data.
Eye movements are natural when reading a passage of text, counting numbers, or staring at a fixed point. However, eye movements that indicate distraction (movements up and down) and long periods of fixation on certain words can be leading indicators of Concussion, Parkinson's or a reading disorder.
Eye Tracking tools play an essential role in evaluating factors affecting reading comprehension; a proven concept for over 30 years. The test results provide valuable insight into the underlying factors that can cause reading inefficiencies. And testing can be accomplished more quickly with Reading XR – up to 4x faster than conventional testing methods, saving testing administrators hundreds of hours a year.
Reading XR is leading a nationwide study of student athletes, in partnership with Professor David Wang of Quinnipiac University and PINK Concussions, using eye tracking to identify objective data which supports early detection of concussion used in determining 'Return to Play' decisions.
Reviews of eye‑tracking research in Parkinson’s report consistent patterns—slower or hypometric saccades, impaired antisaccades, abnormal pursuit, and altered blink/pupil responses—which can be quantified objectively and used as biomarkers of early disease and progression.
Eye tracking is a vital screening and support tool for identifying visual issues and reading disorders. Test results provide objective data, which when used alongside clinical and educational assessments, help teachers determine if readers might need a full evaluation.
Health‑economic models across chronic neurological diseases consistently show that interventions which delay progression or reduce severe complications produce significant long‑term savings per patient, even when early evaluation and monitoring add some upfront cost.
- RoacheOne detailed analysis of high‑school football players estimated the direct medical cost of a single sports‑related concussion at roughly 600–800 USD, with cases that develop prolonged post‑concussion symptoms costing over 2,500 USD in direct care alone. Earlier recognition, better initial management, and quicker referral to specialty concussion care were identified as ways to reduce the proportion of expensive, prolonged cases and thus lower average per‑concussion costs.
- NIHEarly diagnosis by itself does not eliminate these costs, but it allows earlier optimization of therapy, fall‑prevention strategies, and multidisciplinary care, which can delay institutionalization and reduce hospitalizations, two of the most expensive components of Parkinson’s care.
- PMC“While augmented reality technology is still largely in its infancy, the Barbara Bush Foundation for Family Literacy is encouraged by the strong potential this technology shows in educational settings. Reading XR developed by SphereGen is reflective of a team and company that is clearly committed to drawing on appropriate literacy and learning expertise as well as technical expertise as appropriate to their product. Reading XR is the rare technology that appears to deliver on its promise.”
- Andrew Roberts Interim President and Chief Executive Officer, Barbara Bush Foundation- Non-invasive
- Rapid testing cycles
- Secure, privacy-assured data storage
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Under the supervision of an authorized test administrator, the user puts on the headset and follows voice and text instructions.
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Condition-specific tests which track and record eye movements are administered.
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Test data including video playback of eye movement is compared to user baseline data and AI-powered 'healthy state' data
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Test data is shared with authorized care givers.