Readability and Health Literacy Scores for ChatGPT-Generated Dermatology Public Education Materials: Cross-Sectional Analysis of Sunscreen and Melanoma Questions-Reference-Cited by-同舟云学术

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Readability and Health Literacy Scores for ChatGPT-Generated Dermatology Public Education Materials: Cross-Sectional Analysis of Sunscreen and Melanoma Questions

Published:2024-03-06 Issue: Volume:7 Page:e50163
ISSN:2562-0959
Container-title:JMIR Dermatology
language:en
Short-container-title:JMIR Dermatol

Author:

Roster Katie^ORCID,Kann Rebecca B^ORCID,Farabi Banu^ORCID,Gronbeck Christian^ORCID,Brownstone Nicholas^ORCID,Lipner Shari R^ORCID

Abstract

Publisher

JMIR Publications Inc.

Reference9 articles.

1. Illiteracy among Medicaid Recipients and its Relationship to Health Care Costs

2. Readability of Online Health Information: A Meta-Narrative Systematic Review

3. Using ChatGPT for writing articles for patients' education for dermatological diseases: A pilot study

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. 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;2024-04-30

2. A discussion with ChatGPT regarding the use of home remedies to treat acne vulgaris (Preprint);2024-03-29

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