U.S., June 6 -- ClinicalTrials.gov registry received information related to the study (NCT07629024) titled 'Rehabilitation Assessment of Motor Function In Cerebral Palsy Using Explainable AI' on May 18.

Brief Summary: 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. The study aims to determine whether machine learning models can accurately predict mobility status, gait symmetry, and functional independence in ambulatory and non-ambulatory children with cerebral palsy.

The main questions it aims to answer are:

* Can clinical and gait-re...