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

作者信息

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

机构信息

New York Medical College, New York, NY, United States.

Dermatology Department, NYC Health + Hospital/Metropolitan, New York, NY, United States.

出版信息

JMIR Dermatol. 2024 Mar 6;7:e50163. doi: 10.2196/50163.

DOI:10.2196/50163
PMID:38446502
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10955394/
Abstract
摘要

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The Use of Large Language Models to Generate Education Materials about Uveitis.使用大型语言模型生成有关葡萄膜炎的教育材料。
Ophthalmol Retina. 2024 Feb;8(2):195-201. doi: 10.1016/j.oret.2023.09.008. Epub 2023 Sep 15.
2
Using ChatGPT for Writing Articles for Patients' Education for Dermatological Diseases: A Pilot Study.使用ChatGPT撰写皮肤病患者教育文章：一项试点研究。
Indian Dermatol Online J. 2023 Jun 28;14(4):482-486. doi: 10.4103/idoj.idoj_72_23. eCollection 2023 Jul-Aug.
3
Assessment of internet sources on subungual melanoma.甲下黑素瘤相关互联网资源评估。
Melanoma Res. 2020 Aug;30(4):416-419. doi: 10.1097/CMR.0000000000000508.
4
Readability of Online Health Information: A Meta-Narrative Systematic Review.在线健康信息的可读性：一项元叙事系统评价
Am J Med Qual. 2018 Sep/Oct;33(5):487-492. doi: 10.1177/1062860617751639. Epub 2018 Jan 18.
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Illiteracy among Medicaid recipients and its relationship to health care costs.医疗补助计划受助者中的文盲现象及其与医疗保健成本的关系。
J Health Care Poor Underserved. 1994;5(2):99-111. doi: 10.1353/hpu.2010.0272.