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

NCT07083726 · Status: ACTIVE_NOT_RECRUITING · Type: OBSERVATIONAL · Enrollment: 250

Last updated 2025-09-05

No results posted yet for this study

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.

Conditions

  • AIMAS
  • Developmental Coordination Disorder

Sponsors & Collaborators

  • Chang Gung Memorial Hospital

    lead OTHER

Principal Investigators

  • Chia-Ling Chen · Chang Gung Memorial Hospital

Eligibility

Min Age
6 Years
Max Age
12 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-08-01
Primary Completion
2028-07-31
Completion
2028-07-31

Countries

  • Taiwan

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07083726 on ClinicalTrials.gov