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使用Origami照片预测年龄和视觉运动集成:深度学习研究
Chien-Yu Huang1,2, Yen-Ting Yu1,3, Kuan-Lin Chen3,4,5
1School of Occupational Therapy, College of Medicine, National Taiwan University, Taipei, Taiwan.
JMIR formative research
|January 13, 2025
概括
人工智能 (AI) 可以预测儿童的年龄和视觉运动整合 (VMI) 发展从原木创作. 这种人工智能方法为治疗师评估儿童发育提供了客观的见解.
科学领域:
- 发育儿科 发育儿科
- 医疗保健中的人工智能
- 儿童心理学 儿童心理学
背景情况:
- 奥里加米是一个受欢迎的,吸引儿童的活动,提供了作为临床评估工具的潜力.
- 目前用于评估原木的主观方法限制了其在评估儿童年龄和视觉运动整合 (VMI) 中的有用性.
- 缺乏实证证据支持使用原创产品客观地确定发育状态.
研究的目的:
- 将人工智能 (AI) 应用于原木产品,以预测儿童的年龄.
- 预测儿童视觉运动整合 (VMI) 发展,包括标准化得分和发育状态 (典型,边界,延迟).
- 用各种摄影角度的图像来评估AI模型的性能.
主要方法:
- 515名2-6岁的孩子创作了8个角度拍摄的原木狗.
- 人工智能模型 (ResNet-50,XGBoost,多层感知器) 被训练来预测年龄和VMIz分数.
- 视觉运动整合的Beery-Buktenica发展测试,第6版,评估了VMI水平.
主要成果:
- 人工智能模型的R2值达到0.73的年龄预测和0.66的VMI预测.
- 预测VMI发育状况的准确性在71%至76%之间.
- 预测和实际z分数之间观察到很高的相关性 (年龄:0.84-0.85,VMI:0.77-0.81).
结论:
- 人工智能显示出对客观预测儿童发育进展的巨大潜力.
- 人工智能驱动的洞察力可以增强治疗师对儿童在活动中的表现的解释.
- 通过人工智能分析的Origami显示出作为发展评估工具的前景.
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