Examining the frequency of artificial intelligence generated content in anesthesiology and intensive care journal publications: A cross sectional study.

IF 1.4 4区医学 Q2 MEDICINE, GENERAL & INTERNAL Medicine Pub Date : 2025-02-21 DOI:10.1097/MD.0000000000041594

Selin Erel, Ozge Erkocak Arabaci, Hasan Kutluk Pampal

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Abstract

The emergence of artificial intelligence (AI)-based linguistic models has revolutionized academic writing, prompting concerns about integrity. In response, AI-powered text authenticity detectors have been developed. This study examines AI tool usage in anesthesiology and intensive care journals. 1268 articles from 86 journals in "Anesthesiology" and "Anesthesiology and Intensive Care" were analyzed using Copyleaks and ZeroGPT. English abstracts published between April 18 and May 18, 2023, were scrutinized. ZeroGPT and Copyleaks found average AI usage at 25.1% ± 27.5 and 10.5% ± 15.9, respectively. 16.8% of articles were "human-written," while 83.2% were "AI-assisted". AI assistance correlated positively with abstract length and was more common among nonnative English speakers (P < .001). It was also prevalent in high-impact and science citation index-indexed journals (P < .01; P < .001). This study underscores the widespread adoption of AI tools in academic writing, particularly among nonnative English authors and in high-impact journals, emphasizing the need for improved detection mechanisms and regulatory guidelines.

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检查麻醉和重症监护期刊出版物中人工智能生成内容的频率：一项横断面研究。

基于人工智能（AI）的语言模型的出现彻底改变了学术写作，引发了对诚信的担忧。作为回应，人工智能文本真实性检测器已经被开发出来。本研究调查了人工智能工具在麻醉学和重症监护期刊中的使用情况。使用Copyleaks和ZeroGPT对《麻醉学》和《麻醉学与重症监护》86种期刊中的1268篇文章进行分析。在2023年4月18日至5月18日期间发表的英文摘要被仔细审查。ZeroGPT和Copyleaks发现人工智能的平均使用率分别为25.1%±27.5和10.5%±15.9。16.8%的文章是“人工撰写的”，而83.2%的文章是“人工智能辅助的”。人工智能辅助与抽象长度呈正相关，并且在非英语母语者中更为常见(P

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来源期刊

Medicine 医学-医学：内科

CiteScore

2.80

自引率

0.00%

发文量

4342

审稿时长

>12 weeks

期刊介绍： Medicine is now a fully open access journal, providing authors with a distinctive new service offering continuous publication of original research across a broad spectrum of medical scientific disciplines and sub-specialties. As an open access title, Medicine will continue to provide authors with an established, trusted platform for the publication of their work. To ensure the ongoing quality of Medicine’s content, the peer-review process will only accept content that is scientifically, technically and ethically sound, and in compliance with standard reporting guidelines.