Active — Not RecruitingNot Applicable

Smart Steps to Growth: Unleashing AI for Assessing Motor Skills in School Children

Taiwan250 participantsStarted 2025-08-01

Plain-language summary

The purpose of this study is to develop an AI-based automated motor function assessment system (AIMAS) to improve early identification of developmental coordination disorder (DCD) in school-age children. The main hypothesis for this study is: Integrating AI into motor skill assessments will enhance the reliability, validity, efficiency, and accuracy of evaluating motor performance in children aged 6 to 12.

Who can participate

Age range6 Years – 12 Years

SexALL

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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.

Inclusion Criteria: * Children aged 6 to 12 years. * For DCD group: formal diagnosis of Developmental Coordination Disorder (DCD). * For typically developing group: no disabilities or developmental delays. Exclusion Criteria: * Acute illnesses (e.g., pneumonia, upper gastrointestinal hemorrhage). * Significant developmental delays or disabilities. * Genetic diseases or disorders. * Neurological disorders or injuries.

What they're measuring

Motor Function Assessment Score

Timeframe: Baseline

DCD Risk Classification

Timeframe: Baseline

Trial details

NCT IDNCT07083726

SponsorChang Gung Memorial Hospital

Sponsor typeOTHER

Study typeOBSERVATIONAL

Primary completion2028-07-31

View on ClinicalTrials.gov More AIMAS trials