NCT07083726进行中（未招募）不适用
Smart Steps to Growth: Unleashing AI for Assessing Motor Skills in School Children
Chang Gung Memorial Hospital1 个研究点 分布在 1 个国家目标入组 250 人开始时间: 2025年8月1日最近更新:
适应症
试验速览
- 阶段
- 不适用
- 状态
- 进行中（未招募）
- 发起方
- 入组人数
- 250
- 试验地点
- 1
- 主要终点
- Motor Function Assessment Score
研究概览
简要总结
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.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 6 Years 至 12 Years（Child）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •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.
排除标准
- •Acute illnesses (e.g., pneumonia, upper gastrointestinal hemorrhage).
- •Significant developmental delays or disabilities.
- •Genetic diseases or disorders.
- •Neurological disorders or injuries.
结局指标
主要结局
Motor Function Assessment Score
时间窗: Baseline
AI-based Motor Function Test (Higher scores indicate better motor performance and lower risk of Developmental Coordination Disorder (DCD).)
DCD Risk Classification
时间窗: Baseline
AIMAS System Classification (System's ability to identify children at risk of DCD, compared to clinical diagnosis.)
次要结局
- The Bruininks-Oseretsky Test of Motor Proficiency, Second Edition (BOT-2)(baseline)
研究者
研究点 (1)
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