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

Journals

  1. Behers B, Vargas I, Behers B, Rosario M, Wojtas C, Deevers A, Hamad K. Assessing the Readability of Patient Education Materials on Cardiac Catheterization From Artificial Intelligence Chatbots: An Observational Cross-Sectional Study. Cureus 2024 View
  2. Oliva A, Pasick L, Hoffer M, Rosow D. Improving readability and comprehension levels of otolaryngology patient education materials using ChatGPT. American Journal of Otolaryngology 2024;45(6):104502 View