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Ethics, Privacy, and Legal Issues (787) Nursing (158) Use and User Demographics of mHealth (494) Machine Learning (3051) Nursing and Public Health (62)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/78132, first published .
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Detecting Sociodemographic Biases in the Content and Quality of Large Language Model–Generated Nursing Care: Cross-Sectional Simulation Study

Detecting Sociodemographic Biases in the Content and Quality of Large Language Model–Generated Nursing Care: Cross-Sectional Simulation Study

Authors of this article:

Nan Bai1 Author Orcid Image ;   Yijing Yu1 Author Orcid Image ;   Chunyan Luo1 Author Orcid Image ;   Si Chen Zhou1 Author Orcid Image ;   Qing Wang1 Author Orcid Image ;   Huijing Zou1 Author Orcid Image ;   Qian Liu1 Author Orcid Image ;   Guanghui Fu2 Author Orcid Image ;   Wei Zhai3 Author Orcid Image ;   Qing Zhao3 Author Orcid Image ;   Jianqiang Li3 Author Orcid Image ;   Xinni Wei1 Author Orcid Image ;   Bing Xiang Yang1, 4, 5 Author Orcid Image
Article Authors Cited by (1) Tweetations (4) Metrics

Journals

  1. Yin X, Song H, Moreira J, Song C, Sun Y. Exploring perceptions of data risks in AI-enabled nursing research: A qualitative study. DIGITAL HEALTH 2026;12 View