Editorial stances on large Language models in leading nursing publications: a cross-sectional analysis

Leading nursing publications exhibit a fractured landscape on LLM use. While foundational agreement exists on authorship and content generation, critical areas like image creation and peer assessment lack consistent standards. This ambiguity underscores the need for a more unified, transparent framework to guide ethical and responsible LLM integration in nursing scholarship.

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Publication Details

Journal
BMC Nursing
Published
2025-11-20
DOI
https://doi.org/10.1186/s12912-025-04102-9
Citations
1
Primary Topic
Academic Writing and Publishing
Type
article
Field-Weighted Citation Impact
18.02
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article

Editorial stances on large Language models in leading nursing publications: a cross-sectional analysis

G. SU, Limei Zhu, Yanli Liu, Xing Zhou
1 citations
BMC Nursing
Academic Writing and Publishing
18.02
article

Editorial stances on large Language models in leading nursing publications: a cross-sectional analysis

G. SU, Limei Zhu, Yanli Liu, Xing Zhou
article en
1 citations

Abstract

Leading nursing publications exhibit a fractured landscape on LLM use. While foundational agreement exists on authorship and content generation, critical areas like image creation and peer assessment lack consistent standards. This ambiguity underscores the need for a more unified, transparent framework to guide ethical and responsible LLM integration in nursing scholarship.

BMC NursingVol. 24(1)
Ganzhou People's Hospital (CN)
Openalex Percentile: Top 1%
Academic Writing and Publishing
18.02
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