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AI-driven cognitive health assessments via proprietary eye-tracking technology.

Neurotrack is a clinical-grade digital health platform that utilizes computer vision and AI to transform standard mobile and desktop cameras into sophisticated eye-tracking diagnostic tools. By analyzing saccadic eye movements and visual recognition memory (VRM), the platform identifies subtle biomarkers of cognitive impairment and Alzheimer's disease years before traditional symptoms manifest. As of 2026, Neurotrack has shifted its market position primarily toward a B2B2C model, integrating directly into health systems and insurance provider workflows (Value-Based Care). The technical architecture is built on top of HIPAA-compliant cloud infrastructure, processing ocular data points in real-time to generate a 'Neurotrack Score' that correlates with established clinical benchmarks like MoCA. The 2026 version features enhanced predictive modeling, utilizing longitudinal data to forecast cognitive decline trajectories with 80%+ accuracy. It bridges the gap between home-based wellness and professional clinical diagnosis, enabling providers to implement early intervention strategies and lifestyle modifications to mitigate dementia risk across large patient populations.
Neurotrack is a clinical-grade digital health platform that utilizes computer vision and AI to transform standard mobile and desktop cameras into sophisticated eye-tracking diagnostic tools.
Explore all tools that specialize in assess cognitive function. This domain focus ensures Neurotrack delivers optimized results for this specific requirement.
Explore all tools that specialize in eye-tracking analysis. This domain focus ensures Neurotrack delivers optimized results for this specific requirement.
Explore all tools that specialize in tracking cognitive performance. This domain focus ensures Neurotrack delivers optimized results for this specific requirement.
Uses standard RGB cameras to track sub-millimeter eye movements at 30-60Hz sampling rates.
Measures the 'Novelty Preference' in visual scanning, a validated indicator of hippocampal function.
Uses FHIR standards to push assessment data directly into clinical progress notes.
Algorithmic recommendations based on the Lancet Commission’s 12 modifiable risk factors for dementia.
AI-driven check for head positioning, lighting, and pupil visibility before test commencement.
Statistical modeling of cognitive performance over multiple years to detect subtle downward slopes.
Biometric patient verification to ensure the test is taken by the registered user.
Provider account creation and clinical credentialing.
Patient enrollment via secure invitation link or SMS.
Hardware environment check for ambient lighting and camera resolution.
Calibration of eye-tracking sensors using on-screen focal points.
Execution of the 3-minute Visual Recognition Memory (VRM) test.
Real-time upload of ocular movement data to encrypted cloud servers.
AI-driven analysis of gaze duration and pupil dilation patterns.
Generation of immediate cognitive baseline or comparison reports.
Automatic synchronization with Electronic Health Records (EHR) like Epic/Cerner.
Scheduled longitudinal re-testing for trend analysis.
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"Users praise the ease of use and speed of testing, though some elderly patients require assistance with initial camera calibration."
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