TY  - JOUR
AU  - Roster, Katie
AU  - Kann, Rebecca B
AU  - Farabi, Banu
AU  - Gronbeck, Christian
AU  - Brownstone, Nicholas
AU  - Lipner, Shari R
PY  - 2024
DA  - 2024/3/6
TI  - Readability and Health Literacy Scores for ChatGPT-Generated Dermatology Public Education Materials: Cross-Sectional Analysis of Sunscreen and Melanoma Questions
JO  - JMIR Dermatol
SP  - e50163
VL  - 7
KW  - ChatGPT
KW  - artificial intelligence
KW  - AI
KW  - LLM
KW  - LLMs
KW  - large language model
KW  - language model
KW  - language models
KW  - generative
KW  - NLP
KW  - natural language processing
KW  - health disparities
KW  - health literacy
KW  - readability
KW  - disparities
KW  - disparity
KW  - dermatology
KW  - health information
KW  - comprehensible
KW  - comprehensibility
KW  - understandability
KW  - patient education
KW  - public education
KW  - health education
KW  - online information
SN  - 2562-0959
UR  - https://derma.jmir.org/2024/1/e50163
UR  - https://doi.org/10.2196/50163
UR  - http://www.ncbi.nlm.nih.gov/pubmed/38446502
DO  - 10.2196/50163
ID  - info:doi/10.2196/50163
ER  -