Readability of Information Generated by ChatGPT for Hidradenitis Suppurativa

Lauren Gawey; Caitlyn B Dagenet; Khiem A Tran; Sarah Park; Jennifer L Hsiao; Vivian Shi

doi:10.2196/55204

Readability of Information Generated by ChatGPT for Hidradenitis Suppurativa

JMIR Dermatol. 2024 Aug 14:7:e55204. doi: 10.2196/55204.

Authors

Lauren Gawey¹, Caitlyn B Dagenet², Khiem A Tran³, Sarah Park⁴, Jennifer L Hsiao⁵, Vivian Shi³

Affiliations

¹ University of Arkansas for Medical Sciences, Little Rock, AR, United States.
² College of Medicine, The University of Arizona, Tucson, AZ, United States.
³ Department of Dermatology, University of Arkansas for Medical Sciences, Little Rock, AR, United States.
⁴ David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States.
⁵ Department of Dermatology, University of Southern California, Los Angeles, CA, United States.

PMID: 39141908
PMCID: PMC11358659
DOI: 10.2196/55204

No abstract available

Keywords: AI; Chat-GPT; ChatGPT; ML; algorithm; algorithms; artificial intelligence; chat-bot; chat-bots; chatbot; chatbots; deep learning; hidradenitis suppurativa; machine learning; patient resources; practical model; practical models; predictive analytics; predictive model; predictive models; predictive system; readability.

Publication types

Letter
Research Support, Non-U.S. Gov't

MeSH terms

Comprehension*
Hidradenitis Suppurativa*
Humans
Patient Education as Topic