A review of top cardiology and cardiovascular medicine journal guidelines regarding the use of generative artificial intelligence tools in scientific writing

IF 3 3区 医学 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS Current Problems in Cardiology Pub Date : 2024-01-05 DOI:10.1016/j.cpcardiol.2024.102387
Maha Inam , Sana Sheikh , Abdul Mannan Khan Minhas , Elizabeth M. Vaughan , Chayakrit Krittanawong , Zainab Samad , Carl J. Lavie , Adeel Khoja , Melaine D'Cruze , Leandro Slipczuk , Farhana Alarakhiya , Azra Naseem , Adil H. Haider , Salim S. Virani
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Abstract

Background

Generative Artificial Intelligence (AI) tools have experienced rapid development over the last decade and are gaining increasing popularity as assistive models in academic writing. However, the ability of AI to generate reliable and accurate research articles is a topic of debate. Major scientific journals have issued policies regarding the contribution of AI tools in scientific writing.

Methods

We conducted a review of the author and peer reviewer guidelines of the top 25 Cardiology and Cardiovascular Medicine journals as per the 2023 SCImago rankings. Data were obtained though reviewing journal websites and directly emailing the editorial office. Descriptive data regarding journal characteristics were coded on SPSS. Subgroup analyses of the journal guidelines were conducted based on the publishing company policies.

Results

Our analysis revealed that all scientific journals in our study permitted the documented use of AI in scientific writing with certain limitations as per ICMJE recommendations. We found that AI tools cannot be included in the authorship or be used for image generation, and that all authors are required to assume full responsibility of their submitted and published work. The use of generative AI tools in the peer review process is strictly prohibited.

Conclusion

Guidelines regarding the use of generative AI in scientific writing are standardized, detailed, and unanimously followed by all journals in our study according to the recommendations set forth by international forums. It is imperative to ensure that these policies are carefully followed and updated to maintain scientific integrity.

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关于在科学写作中使用生成式人工智能工具的顶级心脏病学和心血管医学期刊指南综述
背景人工智能(AI)生成工具在过去十年中经历了快速发展,并作为学术写作的辅助模型越来越受欢迎。然而,人工智能能否生成可靠、准确的研究文章仍是一个争论不休的话题。我们对2023年SCImago排名前25位的心脏病学和心血管医学期刊的作者和同行评审指南进行了审查。我们通过查阅期刊网站和直接向编辑部发送电子邮件来获取数据。有关期刊特征的描述性数据用 SPSS 进行编码。结果我们的分析表明,根据 ICMJE 的建议,我们研究中的所有科学期刊都允许在科学写作中使用人工智能,但有一定的限制。我们发现,人工智能工具不能包含在作者姓名中,也不能用于生成图像,所有作者都必须对其提交和发表的作品承担全部责任。在同行评审过程中严禁使用生成式人工智能工具。结论根据国际论坛提出的建议,我们研究的所有期刊都对在科学写作中使用生成式人工智能制定了规范、详细和一致的指导方针。必须确保这些政策得到认真遵守和更新,以维护科学的完整性。
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来源期刊
Current Problems in Cardiology
Current Problems in Cardiology 医学-心血管系统
CiteScore
4.80
自引率
2.40%
发文量
392
审稿时长
6 days
期刊介绍: Under the editorial leadership of noted cardiologist Dr. Hector O. Ventura, Current Problems in Cardiology provides focused, comprehensive coverage of important clinical topics in cardiology. Each monthly issues, addresses a selected clinical problem or condition, including pathophysiology, invasive and noninvasive diagnosis, drug therapy, surgical management, and rehabilitation; or explores the clinical applications of a diagnostic modality or a particular category of drugs. Critical commentary from the distinguished editorial board accompanies each monograph, providing readers with additional insights. An extensive bibliography in each issue saves hours of library research.
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