Effects of education level on natural language processing in cardiovascular health communication
These findings indicate that while NLP models adjust readability by education level, output complexity often exceeds average literacy, highlighting the need for refinement to optimize AI-driven patient education.
Authors
- Varunil Shah (ORCID: https://orcid.org/0009-0007-4964-5503)
- Ryan A. Harris (ORCID: https://orcid.org/0000-0002-8826-681X)
- Stanley Joseph
- A. Bhardwaj
- Ishan Aggarwal
- Justin Skariah
Institutions
- Augusta University (US)
- Prevention Institute (US)
- University School (US)
- Case Western Reserve University (US)
Publication Details
- Journal
- Frontiers in Public Health
- Published
- 2025-11-13
- DOI
- https://doi.org/10.3389/fpubh.2025.1688173
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00