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人工智能技术在颅内动脉瘤治疗研究中的全球趋势:一项文献计量分析

Global trend in research of intracranial aneurysm management with artificial intelligence technology: a bibliometric analysis.

作者信息

Zhang Fujunhui, Turhon Mirzat, Huang Jiliang, Li Mengxing, Liu Jian, Zhang Yisen, Zhang Ying

机构信息

Department of Interventional Neuroradiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.

Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.

出版信息

Quant Imaging Med Surg. 2024 Jan 3;14(1):1022-1038. doi: 10.21037/qims-23-793. Epub 2023 Nov 2.

Abstract

BACKGROUND

The use of artificial intelligence (AI) technology has been growing in the management of intracranial aneurysms (IAs). This study aims to conduct a bibliometric analysis of researches on intracranial aneurysm management with artificial intelligence technology (IAMWAIT) to gain insights into global research trends and potential future directions.

METHODS

A comprehensive search of articles and reviews related to IAMWAIT, published from January 1, 1900 to July 20, 2023, was conducted using the Web of Science Core Collection (WoWCC).Visualizations of the bibliometric analysis were generated utilizing WPS Office, Scimago Graphica, VOSviewer, CiteSpace, and R.

RESULTS

A total of 277 papers were included in the study. China emerged as the most prolific country in terms of publications, institutions, cooperating countries, and prolific authors. The United States garnered the highest number of total citations, institutions with the highest citations/H index, cooperating countries (n=9), and 3 of the top 10 cited papers. Both the total number of papers and the citation count exhibited a positive and significant correlation with the gross domestic product (GDP) of countries. The journal with the highest publication frequency was Frontiers in Neurology, while Stroke recorded the highest number of citations, H-index, and impact factor (IF). Areas of primary interest in IAMWAIT, leveraging AI technology, included rupture risk assessment/prediction, computer-assisted diagnosis, outcome prediction, hemodynamics, and laboratory research of IAs.

CONCLUSIONS

IAMWAIT is an active area of research that has undergone rapid development in recent years. Future endeavors should focus on broader application of AI algorithms in various sub-fields of IAMWAIT to better suit the real world.

摘要

背景

人工智能(AI)技术在颅内动脉瘤(IA)管理中的应用一直在增加。本研究旨在对人工智能技术在颅内动脉瘤管理方面的研究(IAMWAIT)进行文献计量分析,以深入了解全球研究趋势和潜在的未来方向。

方法

使用科学网核心合集(WoWCC)对1900年1月1日至2023年7月20日发表的与IAMWAIT相关的文章和综述进行全面检索。利用WPS Office、Scimago Graphica、VOSviewer、CiteSpace和R生成文献计量分析的可视化结果。

结果

本研究共纳入277篇论文。在论文发表数量、机构、合作国家和多产作者方面,中国是最多产的国家。美国获得的总被引次数最多,拥有最高被引次数/H指数的机构、合作国家数量最多(n = 9),以及10篇被引次数最多的论文中的3篇。论文总数和被引次数与各国国内生产总值(GDP)均呈显著正相关。发表频率最高的期刊是《神经病学前沿》,而《中风》的被引次数、H指数和影响因子(IF)最高。利用人工智能技术的IAMWAIT主要关注领域包括破裂风险评估/预测、计算机辅助诊断、预后预测、血流动力学以及IA的实验室研究。

结论

IAMWAIT是一个活跃的研究领域,近年来发展迅速。未来的努力应集中于将人工智能算法更广泛地应用于IAMWAIT的各个子领域,以更好地适应现实世界。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89b6/10784100/aa9e37a01ef5/qims-14-01-1022-f1.jpg

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