Not_yet_recruitingNCT07629024

Rehabilitation Assessment of Motor Function in Ambulatory Children With Cerebral Palsy Using Explainable Machine Learning

Sponsor: Riphah International University

Trial Details

Condition	Cerebral Palsy Children
Intervention	AI-Based Functional Mobility and Gait Assessment
Status	Not_yet_recruiting
Participants	200
Est. Completion	30 June 2027
Last Updated	26 June 2026

Primary Outcome

GMFM-66; Markerless Gait Analysis; Edinburgh visual gait scale (EVGS); WeeFIM (Functional Independence Measure for Children)

Eligibility Criteria

Inclusion Criteria

Inclusion Criteria: * Age 4 to18 years * Diagnosed any motor type of cerebral palsy (spastic, dyskinetic, ataxic, mixed),) * GMFCS levels I -III (able to walk with or without an assistive device). * All participants must be able to ambulate at least 10 meters with or without an assistive device. * Capable of following simple verbal instructions. * Parental informed consent and child assent Exclusion Criteria: * Recent orthopedic or neurosurgical interventions (\<6 months). * Uncontrolled seizures affecting gait. * Non-ambulatory (GMFCS IV-V) or cognitive impairments preventing cooperation.

Trial Sites

Countries

Pakistan

View Registry Entry

Related Analysis

Observational Study Opens: AI-Enhanced Gait Assessment in Paediatric Cerebral Palsy — Validating Low-Cost Mobility Prediction Models

New observational study validates AI-enhanced gait assessment tools for predicting mobility outcomes in 200 ambulatory children with cerebral palsy. Research could democratise access to objective movement analysis in resource-limited settings.

Read full article →

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