This paper is in the following e-collection/theme issue:

Theme Issue (2023): AI and ChatGPT in Dermatology (13) Research Letter (84) eHealth Literacy / Digital Literacy (390) Artificial Intelligence (1371) Chatbots and Conversational Agents (531) Generative Language Models Including ChatGPT (311)

Published on in Vol 7 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50163, first published .
Readability and Health Literacy Scores for ChatGPT-Generated Dermatology Public Education Materials: Cross-Sectional Analysis of Sunscreen and Melanoma Questions

Readability and Health Literacy Scores for ChatGPT-Generated Dermatology Public Education Materials: Cross-Sectional Analysis of Sunscreen and Melanoma Questions

Readability and Health Literacy Scores for ChatGPT-Generated Dermatology Public Education Materials: Cross-Sectional Analysis of Sunscreen and Melanoma Questions

Authors of this article:

Katie Roster1 Author Orcid Image ;   Rebecca B Kann1 Author Orcid Image ;   Banu Farabi2 Author Orcid Image ;   Christian Gronbeck3 Author Orcid Image ;   Nicholas Brownstone4 Author Orcid Image ;   Shari R Lipner5 Author Orcid Image
Article Authors Cited by (3) Tweetations (3) Metrics

Katie Roster   1 , MS ;   Rebecca B Kann   1 , BA ;   Banu Farabi   2 , MD ;   Christian Gronbeck   3 , MD ;   Nicholas Brownstone   4 , MD ;   Shari R Lipner   5 , MD, PhD

1 New York Medical College, New York, NY, United States

2 Dermatology Department, NYC Health + Hospital/Metropolitan, New York, NY, United States

3 Department of Dermatology, University of Connecticut HealthCenter, Framington, CT, United States

4 Department of Dermatology, Temple University Hospital, Philadelphia, PA, United States

5 Department of Dermatology, Weill Cornell Medicine, New York, NY, United States

Corresponding Author: