Clinical Trial: MACHINE LEARNING-BASED MULTI-SENSOR SCREENING FOR FALL RISK IN PATIENTS WITH DUCHENNE MUSCULAR DYSTROPHY

U.S., June 12 -- ClinicalTrials.gov registry received information related to the study (NCT07015632) titled 'MACHINE LEARNING-BASED MULTI-SENSOR SCREENING FOR FALL RISK IN PATIENTS WITH DUCHENNE MUSCULAR DYSTROPHY' on June 03.

Brief Summary: This prospective observational study aims to analyze changes in upper extremity functional movement over time in children with Duchenne Muscular Dystrophy (DMD). Thirty patients will be evaluated at three time points (baseline, 6 months, 12 months) using clinical assessments (PUL 2.0, Brooke Scale, grip strength), computer vision-based video analysis, and machine learning algorithms. The goal is to improve future upper limb evaluation methods for non-ambulatory DMD patients. The study includes safety m...