AI-Enhanced Assessment and Intervention Tools for Communication Disorders

This chapter explores the potential of AI-enhanced tools in assessing and intervening in communication disorders within educational and clinical settings. AI-driven applications enable non-invasive screenings for speech, language, and social communication disorders, facilitating early identification and reducing delays in support. Using a literature-based methodology, this review examines key AI applications, evaluating their efficiency, diagnostic accuracy, and accessibility compared to traditional methods. Findings indicate that AI tools streamline assessments by analyzing speech patterns and integrating multimodal data, improving diagnostic precision and reducing evaluation time. However, ethical considerations, including data privacy, algorithm bias, and the need for practitioner training, present challenges to widespread adoption. Despite these concerns, AI has the potential to transform communication disorder assessment, emphasizing the importance of responsible implementation and ongoing research to enhance its applicability across diverse populations.