Clinical Application of Large Language Models for Intervention Plan Development in Speech-Language Pathology
The results of this study may serve as foundational data to provide insights into how clinicians, educators, and students in the field of speech-language pathology can appropriately and responsibly utilize existing AI resources when implementing these technologies into the development of intervention plans.
Authors
- Michael Homer (ORCID: https://orcid.org/0000-0003-0280-6748)
- Namhee Kim (ORCID: https://orcid.org/0000-0002-6135-799X)
- Hyeju Jang
Institutions
- California Baptist University (US)
- Indiana University Indianapolis (US)
- Indiana University – Purdue University Indianapolis (US)
Publication Details
- Journal
- American Journal of Speech-Language Pathology
- Published
- 2025-05-22
- DOI
- https://doi.org/10.1044/2025_ajslp-24-00464
- Citations
- 4
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 2.62