Authors:
M. Lavanya, S. Rubin Bose
Addresses:
Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Ramapuram, Chennai, Tamil Nadu, India.
Abstract:
Speech Therapy is a treatment process done in the process of helping the individuals with any communication disorder. Speech-language pathology is the study of speech and language mechanisms, including speech and fluency disorders. SLPs support the development of communication skills that are essential for academic success, social relationships and overall well-being, as well as the therapeutic use of corrective and augmentative techniques to improve people with speech disorders' ability to speak and communicate. This study explores recent popularity boost for Generative Artificial Intelligence and Large Language Models, which has brought with the difficulties SLPs encounter, and areas where AI-driven technologies can be integrate, include planning and executing treatment plans based on their professional judgment and team members' recommendations, monitoring their individual patients' progress and modifying their therapy plans, and documenting and documenting and reporting patient treatment, progression, and discharge. Performing and interpreting hearing, speech fluency and language examinations, informing patients and their caregivers about communication methods and therapy plans, and methods to cope with speech or language problems, designing and utilising diagnostic and communication devices or methods, and developing and accomplishing speech and language programs. AI use in speech-language pathology therapy will also need to remain an ally, providing professional evaluation and treatment planning by a highly skilled SLP, thereby benefiting the lives of individuals with communication disorders and challenges.
Keywords: Speech Therapy; Generative AI; Large Language Models; Speech-Language Pathology; Treatment Planning; Communication Disorders; Language Examinations; Professional Evaluation.
Received on: 18/03/2025, Revised on: 09/07/2025, Accepted on: 14/10/2025, Published on: 07/06/2026
DOI: 10.64091/ATIHL.2026.000302
AVE Trends in Intelligent Health Letters, 2026 Vol. 3 No. 2 , Pages: 78-86