Artificial intelligence (AI)-driven technologies for managing pediatric speech and language therapy: A scoping review
This review provides an overview of AI-assisted SLT models, highlights gaps, and suggests directions for future research. It shows the effectiveness and potential of AI in enhancing the SLT process. However, challenges related to data privacy, accessibility, and the need for clinical validation persist and need to be addressed in the future.
Authors
- Robert Ross (ORCID: https://orcid.org/0000-0001-7088-273X)
- Cathy Ennis (ORCID: https://orcid.org/0009-0001-0353-1179)
- Kesego Mokgosi (ORCID: https://orcid.org/0009-0000-5713-2002)
- Milad Dadgar (ORCID: https://orcid.org/0009-0005-2352-6958)
Institutions
- National University of Ireland, Maynooth (IE)
- Technological University Dublin (IE)
Publication Details
- Journal
- Digital Health
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1177/20552076251376533
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00