The goal of this observational study is to develop and validate an AI-based prediction model for functional mobility and gait outcomes in children with cerebral palsy using low-cost clinical and gait data collected in rehabilitation settings in Pakistan.
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.
Recent orthopedic or neurosurgical interventions (<6 months).
Uncontrolled seizures affecting gait.
Non-ambulatory (GMFCS IV-V) or cognitive impairments preventing cooperation.