Assessing the Readability, Reliability, and Quality of AI-Modified and Generated Patient Education Materials for Endoscopic Skull Base Surgery
ChatGPT improves the readability of articles, though most still remain above the recommended literacy level for patient education materials. With iterative queries, ChatGPT can generate more reliable and higher quality patient education materials compared to most existing online articles and can be tailored to match readability of average online articles.
Authors
- Edward C. Kuan (ORCID: https://orcid.org/0000-0003-3475-0718)
- Sina J. Torabi (ORCID: https://orcid.org/0000-0002-1964-7109)
- Bobby A. Tajudeen (ORCID: https://orcid.org/0009-0003-3063-5269)
- Leo Meller (ORCID: https://orcid.org/0000-0002-9013-8227)
- Benjamin F. Bitner (ORCID: https://orcid.org/0000-0002-9869-8114)
- Michael J. Warn (ORCID: https://orcid.org/0009-0005-8852-2798)
- Daniella Chan
Institutions
- University of California, Riverside (US)
- University of California, Irvine (US)
- University of California San Diego (US)
- Rush University (US)
Publication Details
- Journal
- American Journal of Rhinology and Allergy
- Published
- 2024-08-21
- DOI
- https://doi.org/10.1177/19458924241273055
- Citations
- 10
- Primary Topic
- Health Literacy and Information Accessibility
- Type
- article
- Field-Weighted Citation Impact
- 8.49