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使用人工智能生成稿件的影像学杂志政策比较综述

A Comparative Review of Imaging Journal Policies for Use of AI in Manuscript Generation.

机构信息

Division of Neuroradiology, Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA (O.S., A.M., A.V.).

Division of Neuroradiology, Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA (O.S., A.M., A.V.).

出版信息

Acad Radiol. 2024 Dec;31(12):5232-5236. doi: 10.1016/j.acra.2024.05.006. Epub 2024 May 20.

DOI:10.1016/j.acra.2024.05.006
PMID:38772797
Abstract

RATIONALE AND OBJECTIVES

Artificial intelligence (AI) technologies are rapidly evolving and offering new advances almost on a day-by-day basis, including various tools for manuscript generation and modification. On the other hand, these potentially time- and effort-saving solutions come with potential bias, factual error, and plagiarism risks. Some journals have started to update their author guidelines in reference to AI-generated or AI-assisted manuscripts. The purpose of this paper is to evaluate author guidelines for including AI use policies in radiology journals and compare scientometric data between journals with and without explicit AI use policies.

MATERIALS AND METHODS

This cross-sectional study included 112 MEDLINE-indexed imaging journals and evaluated their author guidelines between 13 October 2023 and 16 October 2023. Journals were identified based on subject matter and association with a radiological society. The authors' guidelines and editorial policies were evaluated for the use of AI in manuscript preparation and specific AI-generated image policies. We assessed the existence of an AI usage policy among subspecialty imaging journals. The scientometric scores of journals with and without AI use policies were compared using the Wilcoxon signed-rank test.

RESULTS

Among 112 MEDLINE-indexed radiology journals, 80 journals were affiliated with an imaging society, and 32 were not. 69 (61.6%) of 112 imaging journals had an AI usage policy, and 40 (57.9%) of 69 mentioned a specific policy about AI-generated figures. CiteScore (4.9 vs 4, p = 0.023), Source Normalized Impact per Paper (1.12 vs 0.83, p = 0.06), Scientific Journal Ranking (0.75 vs 0.54, p = 0.010) and Journal Citation Indicator (0.77 vs 0.62, p = 0.038) were significantly higher in journals with an AI policy.

CONCLUSION

The majority of imaging journals provide guidelines for AI-generated content, but still, a substantial number of journals do not have AI usage policies or do not require disclosure for non-human-created manuscripts. Journals with an established AI policy had higher citation and impact scores.

摘要

背景与目的

人工智能(AI)技术正在迅速发展,几乎每天都在提供新的进展,包括各种用于手稿生成和修改的工具。另一方面,这些潜在的节省时间和精力的解决方案存在潜在的偏见、事实错误和抄袭风险。一些期刊已经开始更新其作者指南,以提及 AI 生成或 AI 辅助的手稿。本文的目的是评估放射学期刊作者指南中包含 AI 使用政策的情况,并比较有明确 AI 使用政策和没有明确 AI 使用政策的期刊的科学计量数据。

材料与方法

本横断面研究包括 112 种 MEDLINE 索引的影像学期刊,并于 2023 年 10 月 13 日至 2023 年 10 月 16 日评估其作者指南。根据主题和与放射学协会的联系确定期刊。评估作者指南中关于手稿准备和特定 AI 生成图像政策的 AI 使用情况。我们评估了专业影像学期刊中 AI 使用政策的存在情况。使用 Wilcoxon 符号秩检验比较有和没有 AI 使用政策的期刊的科学计量评分。

结果

在 112 种 MEDLINE 索引的放射学期刊中,有 80 种期刊隶属于影像学协会,有 32 种没有。112 种影像学期刊中有 69 种(61.6%)有 AI 使用政策,其中 40 种(57.9%)提到了关于 AI 生成图像的具体政策。CiteScore(4.9 比 4,p=0.023)、Source Normalized Impact per Paper(1.12 比 0.83,p=0.06)、Scientific Journal Ranking(0.75 比 0.54,p=0.010)和 Journal Citation Indicator(0.77 比 0.62,p=0.038)在有 AI 政策的期刊中显著更高。

结论

大多数影像学期刊都为 AI 生成内容提供了指南,但仍有相当数量的期刊没有 AI 使用政策,或者不需要披露非人类创作的手稿。有明确 AI 政策的期刊具有更高的引用和影响评分。

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