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Video-based Assessment of Preschool Children's Gross Motor Development

NCT07054437 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 250

Last updated 2025-07-08

No results posted yet for this study

Summary

Artificial intelligence (AI) is currently one of the global focal points for industrial development, with its applications in healthcare steadily increasing, such as in disease prediction, image diagnosis, and drug development. AI assists healthcare professionals in clinical decision-making by training relevant models through algorithms, thereby enhancing medical efficiency and quality.

Currently, standardized tools are used in clinical settings to screen and assess various aspects of child development. Children's motor development levels are determined by comparing their performance against established norms. However, the current assessment methods primarily rely on on-site visual observation and recording by evaluators, which demands significant time and human resources.

This research aims to establish an automated screening tool for gross motor development in early intervention, suitable for independently walking children aged one to six years old in Taiwan. The goal is to reduce the time cost of manual assessment and enable remote healthcare applications.

Conditions

  • Gross Motor Development Delay

Interventions

OTHER

Gross Motor Development Screening Tool

This intervention is an automated gross motor development screening tool specifically designed for independently walking children aged one to six years old in Taiwan. What sets it apart is its use of artificial intelligence (AI) algorithms to analyze motion data, enabling early identification of potential gross motor developmental delays. Unlike traditional methods that rely on manual, visual observation and subjective recording by healthcare professionals, this tool aims to significantly reduce assessment time and human resource costs. Furthermore, its automated nature makes it uniquely suited for telemedicine applications, allowing for remote screenings and overcoming geographical barriers to access early intervention services. The tool will be developed and validated against established developmental norms relevant to the Taiwanese population.

Sponsors & Collaborators

  • National Taiwan Normal University

    collaborator OTHER

  • Chang Gung Memorial Hospital

    lead OTHER

Eligibility

Min Age
1 Year
Max Age
6 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-06-11
Primary Completion
2026-06-11
Completion
2026-08-31

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 NCT07054437 on ClinicalTrials.gov