A Review of The Use of Artificial Intelligence to Enhance the Practice of Speech Language Pathology
Open Access
Author:
Grabowski, Caitlin
Area of Honors:
Communication Sciences and Disorders
Degree:
Bachelor of Science
Document Type:
Thesis
Thesis Supervisors:
Carol Anne Miller, Thesis Supervisor Carol Anne Miller, Thesis Honors Advisor Ji Min Lee, Faculty Reader
Keywords:
artificial intelligence AI speech-language pathology SLP
Abstract:
Artificial intelligence (AI) is a highly advanced and versatile technology that has found a place in many fields – academic, professional, and personal. This systematic review focuses on the use of AI to enhance the field of speech-language pathology (SLP). Via the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) method, 63 sources have been identified, analyzed, and accepted to determine current uses of AI in the field of SLP. The impact of AI on the field of SLP was considered in relation to the phases of clinical service delivery: screening, assessment, diagnosis, and intervention. The review specifically examined populations of individuals with the following diseases or disorders: autism spectrum disorder, dysarthria, developmental language disorder, Parkinson’s Disease, Alzheimer’s Disease, dysphagia, stroke, literacy impairments, and hearing loss. Within each phase of service delivery and among each clinical population, AI served to enhance the accuracy and efficiency of speech-language pathologists’ practice. As greater consideration is placed on the perception of AI in service delivery and further experimentation with larger sample sizes is conducted, AI has the potential to enhance the field of SLP.
