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

Theme Issue (2023): AI and ChatGPT in Dermatology (13) Natural Language Processing (706) New Methods and Approaches in Medical Education (245) Testing and Assessment in Medical Education (55) Generative Language Models Including ChatGPT (325) Chatbots and Conversational Agents (543) Dermatology (47)

Published on in Vol 7 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55898, first published .
Assessing the Application of Large Language Models in Generating Dermatologic Patient Education Materials According to Reading Level: Qualitative Study

Assessing the Application of Large Language Models in Generating Dermatologic Patient Education Materials According to Reading Level: Qualitative Study

Assessing the Application of Large Language Models in Generating Dermatologic Patient Education Materials According to Reading Level: Qualitative Study

Authors of this article:

Raphaella Lambert1 Author Orcid Image ;   Zi-Yi Choo1 Author Orcid Image ;   Kelsey Gradwohl2 Author Orcid Image ;   Liesl Schroedl2 Author Orcid Image ;   Arlene Ruiz De Luzuriaga2 Author Orcid Image
Article Authors Cited by (5) Tweetations (3) Metrics

Raphaella Lambert   1 , BA ;   Zi-Yi Choo   1 , BS ;   Kelsey Gradwohl   2 , MD ;   Liesl Schroedl   2 , MD ;   Arlene Ruiz De Luzuriaga   2 , MBA, MPH, MD

1 Pritzker School of Medicine, University of Chicago, Chicago, IL, United States

2 Section of Dermatology, University of Chicago Medical Center, Chicago, IL, United States

Corresponding Author: