Neurosurgical journals' policies on artificial intelligence use in manuscript preparation and peer review.

IF 2.5 3区 医学 Q2 CLINICAL NEUROLOGY
Ali A Mohamed, Saahas Rajendran, Daniel Colome, Emma C Sargent, Clemens M Schirmer, Meena Vessell, Brandon Lucke-Wold, Akshay Sharma, Owoicho Adogwa, Stephen Pirris
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Abstract

As artificial intelligence (AI), particularly large language models (LLMs), continues to progress, its impact on academic publishing, both in manuscript drafting and peer review, has attracted considerable attention. In neurosurgery, where journals serve a crucial role in disseminating research, formal guidelines regarding AI remain relatively underexplored. Our study aims to investigate the current state of AI policies among prominent neurosurgical journals, focusing on their role in manuscript preparation and peer review. 38 neurosurgical journals were identified by searching the Johns Hopkins University of Medicine Welch Medical Library, combined with National Library of Medicine subject terms. Each journal's author instructions, editorial policies, and peer-review guidelines were examined for explicit AI usage policies, focusing on manuscript preparation and peer review. Tasks such as writing assistance, data analysis, figure generation, and citation management were documented if identified. Any stated requirements, prohibitions, and disclosure practices for AI were recorded, as well as instances where no policy existed. Of the 38 journals surveyed, 31 (81.6%) had AI use guidelines, 9 (23.7%) based on individual journal-level explicit policies and 22 (57.9%) based on publisher-level guidelines. Majority of journals (n=30, 78.9%) provided guidelines for using AI in manuscript preparation, with most prohibiting its inclusion as an author. Most journals allow but mandate transparent disclosure of AI involvement in readability improvements, grammar correction, and style editing. Fewer journals (n = 13, 34.2%) specified AI policies for peer review, although those that did mention AI often prohibited its use for evaluating submissions due to confidentiality concerns. Although many neurosurgical journals now acknowledge AI's role in manuscript preparation, guidelines for AI-driven peer review remain scarce. Given AI's rapid advancement, establishing clear, comprehensive, and standardized AI policies will be critical for upholding transparency, quality, and efficiency in neurosurgical publishing.

神经外科期刊在稿件准备和同行评审中使用人工智能的政策。
随着人工智能(AI),特别是大型语言模型(llm)的不断进步,它对学术出版的影响,无论是在手稿起草还是同行评审方面,都引起了相当大的关注。在神经外科领域,期刊在传播研究方面发挥着至关重要的作用,但关于人工智能的正式指导方针仍相对缺乏探索。我们的研究旨在调查著名神经外科期刊中人工智能政策的现状,重点关注它们在论文准备和同行评审中的作用。通过检索约翰霍普金斯大学医学韦尔奇医学图书馆,结合国家医学图书馆的学科术语,确定了38种神经外科期刊。对每个期刊的作者说明、编辑政策和同行评议指南进行了检查,以确定明确的人工智能使用政策,重点是手稿准备和同行评议。如写作协助、数据分析、图形生成和引文管理等任务,如果确定,则记录下来。记录了人工智能的任何规定的要求、禁令和披露实践,以及不存在政策的情况。在接受调查的38种期刊中,31种(81.6%)有人工智能使用指南,9种(23.7%)基于个别期刊层面的明确政策,22种(57.9%)基于出版商层面的指南。大多数期刊(n=30, 78.9%)提供了在稿件准备中使用AI的指南,其中大多数禁止将AI作为作者纳入。大多数期刊允许但要求透明地披露人工智能在可读性改进、语法纠正和风格编辑方面的参与。较少的期刊(n = 13, 34.2%)规定了同行评议的人工智能政策,尽管那些提到人工智能的期刊通常出于保密考虑而禁止使用人工智能来评估投稿。尽管许多神经外科期刊现在承认人工智能在手稿准备中的作用,但人工智能驱动的同行评审指南仍然很少。鉴于人工智能的快速发展,建立清晰、全面、标准化的人工智能政策对于保持神经外科出版的透明度、质量和效率至关重要。
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来源期刊
Neurosurgical Review
Neurosurgical Review 医学-临床神经学
CiteScore
5.60
自引率
7.10%
发文量
191
审稿时长
6-12 weeks
期刊介绍: The goal of Neurosurgical Review is to provide a forum for comprehensive reviews on current issues in neurosurgery. Each issue contains up to three reviews, reflecting all important aspects of one topic (a disease or a surgical approach). Comments by a panel of experts within the same issue complete the topic. By providing comprehensive coverage of one topic per issue, Neurosurgical Review combines the topicality of professional journals with the indepth treatment of a monograph. Original papers of high quality are also welcome.
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