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

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Conditions studied: Gross Motor Development Delay

In brief

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.

Key facts

Study ID
NCT07054437
Run by
Chang Gung Memorial Hospital
People needed
250
Starts
2025-06-11
Expected to finish
2026-08-31
Last updated by the study team
2025-07-08

Who can join

Age: 1 and older, up to 6. Sex: any. Healthy volunteers: not accepted.

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Where it is running

Full record on ClinicalTrials.gov

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