相关实验视频
Updated: Jan 13, 2026
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Endocarditis IV: Nursing Management
Published on: June 19, 2025
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通过人工智能支持的职业治疗计划,对有发展协调障碍风险的儿童进行手写技能:随机对照试验
Ozan Demirci1, Guleser Guney Yilmaz2, Barkın Köse1
1Department of Occupational Therapy, Faculty of Health Sciences, Gülhane Health Science University, Ankara, Turkiye.
Research in developmental disabilities
|April 12, 2025
概括
一个由人工智能支持的职业治疗计划显著改善了患有发育协调障碍 (DCD) 风险的儿童的手写技能. 与对照组相比,干预措施在速度,可读性和整体性能方面取得了显著的进步.
科学领域:
- 儿科职业治疗 儿科职业治疗
- 发育儿科 发育儿科
- 人与计算机的互动在康复中
背景情况:
- 患有发育协调障碍 (DCD) 风险的儿童经常表现出手写的重大挑战.
- 传统的职业治疗干预措施可能无法完全满足这些孩子的复杂需求.
- 人类职业模型 (MOHO) 提供了一个理解职业表现的框架,包括手写.
研究的目的:
- 评估基于MOHO的人工智能支持职业治疗计划的有效性,以改善患有DCD风险的儿童的手写.
- 将人工智能支持计划的结果与接受标准护理的对照组进行比较.
主要方法:
- 一项随机对照试验涉及42名年龄在8-12岁的儿童,他们有DDC的风险.
- 参与者被分配到人工智能支持的职业治疗干预组 (n=21) 或对照组 (n=21).
- 干预组每周两次接受治疗,持续8周,使用明尼苏达州手写评估 (MHA) 进行手写评估.
主要成果:
- 干预组在所有MHA子域中显示出统计学上显著的改善,包括写作速度,对齐,大小,间距,形状和可读性 (p < 0.001).
- 在形状 (d=2.279),对齐 (d=1.893) 和总得分 (d=2.291) 方面注意到明显的增长.
- 对照组表现出最小的改善,仅在对齐方面显著增长 (p=0.006;d=0.311).
结论:
- 基于MOHO框架的人工智能支持职业治疗,提供了一种高度有效的方法,以提高患有DCD风险的儿童的手写技能.
- 与标准护理相比,该计划表现出优异的结果,表明其作为一种有价值的治疗工具的潜力.
- 这种技术驱动的干预对儿科手写康复有着变革性的潜力.
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