The present study investigates how artificial intelligence (AI) and machine learning (ML) can significantly affect the assessment and treatment challenges concerning communication disabilities. It highlights the importance of early and precise diagnosis of communication disabilities, which are frequently impeded by clinical and genetic variability. It illustrates how AI and ML are reshaping healthcare, and as such providing examples of their effectiveness in diagnosis, assessment, as well as treatment plans revealing case history and therapeutic plans like the effective treatment programs.
Further, the study demonstrates how AI can quickly and accurately diagnose patients and analyze large datasets in an efficient manner. It also explores how AI tailor's treatment plans for different communication disorders, providing the ML and deep learning (DL) to develop personalized treatment plans.
The development of health databases and the possibility for tailored treatment recommendations are two areas with which speech and language therapy successfully deal as a result of the integration of AI with human health care.
The study covers ethical, legal, technical as well as human elements concerning healthcare AI limitations as well.
In summary, the study provides a comprehensive exploration of the recent influence of AI on speech and language therapy and offers speech and language pathologists (SLPs) a number of tools that help patients achieve therapy objectives. AI tools can, indeed, help speech-language pathologists (SLPs) in therapeutic applications by offering useful data regarding practice performance. In addition to the usage of the AI, Language models help patients receive effective therapy and achieve better speech outcomes.