Work

Assessing the Readability, Reliability, and Quality of AI-Modified and Generated Patient Education Materials for Endoscopic Skull Base Surgery

Year: 2024

Type: article

Source: American Journal of Rhinology and Allergy

DOI: 10.1177/19458924241273055

Authors: Michael Warn, Leo L.T. Meller, Daniella Chan, Sina J. Torabi, Benjamin F. Bitner, Bobby A. Tajudeen, Edward C. Kuan

Institutions: University of California, Riverside, University of California San Diego, University of California, Irvine, Rush University

Language: English

Topic: Health Literacy and Information Accessibility

Subfield: General Health Professions

Field: Health Professions

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4401769383

FWCI: 6.371

Cites: 41

Cited by: 12

Related to: 10