Implementation of a Generative AI-Powered Digital Interactive Platform for Clinical Language Therapy in Children with
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
Summary
Extended use of generative AI tools in home-based language therapy significantly improved language skills in children with language delay and autism spectrum disorder (ASD). This AI-powered approach offers a scalable solution to enhance therapy accessibility and outcomes.
Area of Science:
- Neuroscience and Developmental Psychology
- Artificial Intelligence in Healthcare
- Speech-Language Pathology
Background:
- Early intervention is crucial for children with language delay and autism spectrum disorder (ASD)-related language impairment.
- Home-based speech-language therapy can optimize outcomes but faces practical barriers and a lack of scalable models.
- Generative AI-powered digital tools present a potential solution to extend therapy into the home environment.
Purpose of the Study:
- To evaluate the feasibility and impact of a generative AI-powered interactive platform for home-based language therapy.
- To assess language development in children with idiopathic language delay or ASD-related language impairment using AI tools.
- To determine the relationship between the duration of AI tool usage and improvements in language abilities.
Main Methods:
- A pilot feasibility study with a single-arm, pre-post design and a mixed-methods framework.
- 22 children (aged 2-12) with language delay or ASD received AI-enhanced tablet-based language training at home.
- 2000 audio recordings were analyzed, and participants were grouped by AI usage duration (≤5h, 5-10h, 10-15h, >15h) over 6 weeks.
Main Results:
- Significant improvements in total words, characters, type-token ratio, nouns, verbs, and mean length of utterance were observed only in the group with >15 hours of AI usage (Group D).
- Groups with lower AI usage (≤15 hours) showed no significant language gains.
- A threshold effect indicated that extended engagement with the AI platform is necessary for substantial language development.
Conclusions:
- Extended use of generative AI-powered digital tools in home-based language therapy can significantly enhance language outcomes for children with language delay and ASD.
- This AI-driven approach offers a scalable and cost-effective method to extend clinical care into the home.
- The study highlights the potential of AI to improve therapy accessibility and long-term developmental outcomes for children with language impairments.
Keywords:
autism spectrum disorderearly interventiongenerative artificial intelligencehome-based rehabilitationlanguage delayMore Related Videos
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