Equipping Speech-Language Clinicians for the Critical Appraisal of an Artificial Intelligence–Driven, Evidence-Based Future
The questions of efficacy, validity, reliability, ethical use, and equitable use of clinical AI can be answered through the examination of a specific clinical AI for a given user, as emphasized by culturally responsive professional practice. A framework is provided to assist clinicians in the critical appraisal of clinical AI tools.
Authors
- Nina R. Benway (ORCID: https://orcid.org/0000-0003-0955-9495)
- Jonathan L. Preston (ORCID: https://orcid.org/0000-0001-9971-6321)
Institutions
- University of Maryland, College Park (US)
- Syracuse University (US)
Publication Details
- Journal
- Language Speech and Hearing Services in Schools
- Published
- 2025-05-15
- DOI
- https://doi.org/10.1044/2025_lshss-24-00085
- Citations
- 3
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.96
Funders
- National Institutes of Health