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

Journals

  1. He W, Zhang W, Jin Y, Zhou Q, Zhang H, Xia Q. Physician Versus Large Language Model Chatbot Responses to Web-Based Questions From Autistic Patients in Chinese: Cross-Sectional Comparative Analysis. Journal of Medical Internet Research 2024;26:e54706 View
  2. Mai M, Mirza F, DiMarco C. Application of text-to-image translation algorithms in medicine: A systematic review. JAAD Reviews 2024;2:88 View
  3. Aydin S, Karabacak M, Vlachos V, Margetis K. Large language models in patient education: a scoping review of applications in medicine. Frontiers in Medicine 2024;11 View