在领先的护理出版物中的语言模型:一个横截面分析
Xing Zhou1, Guidi Su1, Limei Zhu1
1Department of Spine Surgery, Ganzhou People's Hospital, Ganzhou, China.
BMC nursing
|November 21, 2025
概括
领先的护理期刊同意AI的内容,但不是作者权. 关于人工智能图像和同行评审的政策存在很大差异,这表明在学术出版中需要统一的标准.
科学领域:
- 学术出版学术出版
- 人工智能的人工智能
- 护理研究 护理研究
背景情况:
- 学术出版业面临着整合大型语言模型 (LLM) 的挑战.
- 需要明确的编辑标准来使用LLM在手稿准备和同行评价中.
- 本研究分析了护理出版物的LLM政策.
研究的目的:
- 分析顶级护理出版物的关于LLM使用的编辑立场.
- 在手稿准备和同行评审中识别有关人工智能的政策变化.
- 评估在护理学术中需要标准化的LLM指导方针.
主要方法:
- 根据影响因子对前50家护理期刊进行横截面分析.
- 系统的网站评价LLM关于作者,内容,图像和同行评价的指令.
- 提取期刊指标以探索与政策采用的相关性.
主要成果:
- 70%的期刊有明确的LLM政策.
- 97%允许LLM内容生成,但94%禁止LLM作者权.
- 在人工智能生成的图像 (52%的禁令) 和同行评估 (49%的禁令) 上存在显著的分歧.
结论:
- 护理出版物显示LLM整合的政策是分散的.
- 关于人工智能用于内容生成和作者权的协议存在,但不适用于图像或同行评审.
- 为了在护理学术中道德和负责任地使用LLM,需要一个统一的框架.
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