Transforming pediatric speech and language disorder diagnosis and therapy: The evolving role of artificial intelligence

Abstract

Integrating artificial intelligence (AI) with healthcare offers a viable way to treat difficult issues like children's speech-sound disorder (SSD).AAC, or augmentative alternative communication, has shown great promise in helping people with SSD, and AI-driven methods hold even more promise for improving diagnosis and therapy. This review paper explores the synergy of AI, ML, and AAC in pediatric speech and language impairments. It also highlights current developments and potential future directions. Healthcare providers can improve communication outcomes for kids with speech impairments, increase early detection, and provide personalised therapy by utilizing AI and ML techniques. In addition to encouraging parental involvement, the combination of AI and AAC technologies spurs advancements in speech therapy applications. AI has the potential to transform healthcare and improve the quality of life for people with speech and language problems as it develops and works in tandem with medical knowledge.

Keywords

• Artificial intelligence
• Machine learning
• Augmentative alternative communication
• Speech, and sound disorder