Neurology clinics
A measured movement record beside every clinical assessment.
For neurology environments, GaitAI can pair NeuroMotion protocol assessments with WalkScan's standard gait measurements and WatchCare's between-visit trends for longitudinal movement monitoring.
The operational problem
Subtle changes in Parkinsonian, post-stroke and ataxic gait are hard to quantify in-clinic.
Why current workflows fall short
Subtle changes in shuffling, turning and stability are difficult to quantify from observation, and episodic events rarely coincide with clinic visits.
Recommended GaitAI product mix
Monitor Parkinsonian, stroke, ataxia & MS gait patterns.
Supports ongoing monitoring of gait patterns linked to neurological movement difficulties, including freezing, shuffling and turning instability.
Turn a walking video into a clinician-ready movement report.
Analyzes a short walking video and turns it into gait and mobility metrics — ready as a downloadable PDF.
Continuous movement intelligence from the wrist.
Combines smartwatch, mobile and wearable sensor data to estimate daily mobility and activity patterns, gait variability and longitudinal fall-risk indicators for clinician, caregiver or remote-care review.
Example workflow
- 01Guided walk-and-turn protocol at each visit
- 02Indicators join the patient's longitudinal record
- 03Wearable trends track mobility between visits
- 04Clinician reviews direction and rate of change
- 05Record complements the clinical assessment
Expected operational outputs
Longitudinal monitoring of neurological movement patterns and rehabilitation progress.
Privacy & responsible use
Designed to support consent-based capture, encrypted transfer, configurable retention and role-based access, with activity logging and skeleton-only processing modes. Deployment requirements depend on the applicable environment, organization and jurisdiction. Privacy-aware architecture does not automatically mean anonymity: pose, gait and trajectories may still carry identifying information. GaitAI outputs are AI-generated movement metrics intended as decision support — they do not diagnose medical conditions and do not replace clinical judgement.