AI-Based Technopreneurship for Speech Disorder Therapyin ADHD Children
DOI:
https://doi.org/10.33050/corisinta.v2i2.135Keywords:
Artificial Intelligence (AI), ADHD, Speech Disorders, AI-Based Therapy, TechnopreneurshipAbstract
While existing literature explores AI in healthcare, this study uniquely high-
lights technopreneurial approaches to address accessibility and affordability of
AI-based therapies. Focusing on Indonesia as a case study, the paper exam-
ines how AI can support children with ADHD who often face delays in speech
development and communication. ADHD affects attention, language process-
ing, and social interaction, creating challenges for effective therapy. AI inte-
grates machine learning to analyze speech patterns, detect phonological errors,
and provide adaptive therapy exercises tailored to children’s developmental lev-
els. Findings indicate that AI improves diagnostic accuracy and delivers engag-
ing interventions through interactive and gamified tools, enhancing motivation
and participation for children who struggle with conventional therapy. AI sys-
tems can track progress and adjust feedback in real time, offering personalized
support. However, barriers remain regarding affordability, infrastructure, and
the need for human oversight to manage complex emotional and behavioral re-
sponses. In this context, technopreneurship is essential to scale affordable AI-
based therapies for schools, clinics, and homes. By bridging gaps in healthcare
delivery, this study contributes to SDG 3 (Good Health), SDG 4 (Quality Ed-
ucation), and SDG 10 (Reduced Inequalities). It emphasizes the importance of
interdisciplinary collaboration among AI developers, speech-language patholo-
gists, medical professionals, and educators. Overall, AI-driven technopreneur-
ship demonstrates strong potential to improve early detection, therapy person-
alization, and language development for children with ADHD, while ensuring
broader accessibility and sustainability.
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