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在语言延迟儿童临床语言治疗中实施生成性AI驱动的数字交互平台:试点研究

Chia-Hui Chueh¹, Tzu-Hui Chiang¹, Po-Wei Pan²

¹Department of Physical Medicine and Rehabilitation, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807, Taiwan.

Life (Basel, Switzerland)

|October 29, 2025

概括

在家庭语言治疗中广泛使用生成性AI工具显著改善了语言延迟和自闭症谱系障碍 (ASD) 的儿童的语言技能. 这种由人工智能驱动的方法提供了一个可扩展的解决方案,以提高治疗的可访问性和结果.

科学领域:

神经科学和发育心理学
医疗保健中的人工智能
语音语言病理学语言病理学

背景情况:

早期干预对于语言延迟和自闭症谱系障碍 (ASD) 相关的语言障碍儿童至关重要.
基于家庭的语音语言治疗可以优化结果,但面临实际障碍和缺乏可扩展模型.
由人工智能驱动的数字工具提供了一个潜在的解决方案,可以将治疗扩展到家庭环境中.

研究的目的:

评估一种以人工智能为动力的交互平台,用于家庭语言治疗的可行性和影响.
使用人工智能工具评估患有特异性语言延迟或自闭症相关语言障碍的儿童的语言发展.
确定人工智能工具使用时间和语言能力的提高之间的关系.

主要方法:

一项试点可行性研究,采用单臂,前后设计和混合方法框架.
22名 (2-12岁) 语言延迟或自闭症儿童在家接受了AI增强的基于平板电脑的语言培训.
分析了2000个音频录音,参与者根据AI使用时间 (≤5h, 5-10h, 10-15h, >15h) 在6周内进行分组.

主要成果:

只有在使用人工智能超过15小时的组 (D组) 才观察到总单词,字符,类型-标记比,名词,动词和平均发音长度的显著改善.
较少使用人工智能 (≤15小时) 的组没有显著的语言增长.
一个值效应表明,与人工智能平台的扩展参与对于实质性的语言开发是必要的.

结论:

在家庭语言治疗中,扩大使用人工智能驱动的数字工具可以显著提高语言延迟和自闭症儿童的语言结果.
这种由人工智能驱动的方法提供了一种可扩展和具有成本效益的方法,可以将临床护理扩展到家庭.
这项研究强调了人工智能在改善语言障碍儿童治疗可及性和长期发展结果方面的潜力.

关键词:

自闭症谱系障碍自闭症谱系障碍早期干预是早期的干预.生成型的人工智能 (GAI)在家进行康复治疗.语言延迟语言延迟

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