Zhang Jirong, Zhang Jimei, Jin Juan, Jiang Xicheng, Yang Linlin, Fan Shiqi, Zhang Qiao, Chi Ming
Graduate School, Heilongjiang University of Chinese Medicine, Harbin, Heilongjiang, China.
College of Public Health, The University of Sydney, NSW, Sydney, Australia.
Front Cardiovasc Med. 2024 Feb 16;11:1323918. doi: 10.3389/fcvm.2024.1323918. eCollection 2024.
With the rapid development of technology, artificial intelligence (AI) has been widely used in the diagnosis and prognosis prediction of a variety of diseases, including cardiovascular disease. Facts have proved that AI has broad application prospects in rapid and accurate diagnosis.
This study mainly summarizes the research on the application of AI in the field of cardiovascular disease through bibliometric analysis and explores possible future research hotpots.
The articles and reviews regarding application of AI in cardiovascular disease between 2000 and 2023 were selected from Web of Science Core Collection on 30 December 2023. Microsoft Excel 2019 was applied to analyze the targeted variables. VOSviewer (version 1.6.16), Citespace (version 6.2.R2), and a widely used online bibliometric platform were used to conduct co-authorship, co-citation, and co-occurrence analysis of countries, institutions, authors, references, and keywords in this field.
A total of 4,611 articles were selected in this study. AI-related research on cardiovascular disease increased exponentially in recent years, of which the USA was the most productive country with 1,360 publications, and had close cooperation with many countries. The most productive institutions and researchers were the Cedar sinai medical center and Acharya, Ur. However, the cooperation among most institutions or researchers was not close even if the high research outputs. is the journal with the largest number of publications in this field. The most important keywords are "classification", "diagnosis", and "risk". Meanwhile, the current research hotpots were "late gadolinium enhancement" and "carotid ultrasound".
AI has broad application prospects in cardiovascular disease, and a growing number of scholars are devoted to AI-related research on cardiovascular disease. Cardiovascular imaging techniques and the selection of appropriate algorithms represent the most extensively studied areas, and a considerable boost in these areas is predicted in the coming years.
随着技术的飞速发展，人工智能（AI）已广泛应用于包括心血管疾病在内的多种疾病的诊断和预后预测。事实证明，人工智能在快速准确诊断方面具有广阔的应用前景。
本研究主要通过文献计量分析总结人工智能在心血管疾病领域应用的研究情况，并探索未来可能的研究热点。
于2023年12月30日从Web of Science核心合集中选取2000年至2023年期间关于人工智能在心血管疾病中应用的文章和综述。应用Microsoft Excel 2019分析目标变量。使用VOSviewer（1.6.16版）、Citespace（6.2.R2版）以及一个广泛使用的在线文献计量平台，对该领域的国家、机构、作者、参考文献和关键词进行合著、共被引和共现分析。
本研究共选取4611篇文章。近年来，心血管疾病的人工智能相关研究呈指数增长，其中美国是产出最多的国家，有1360篇出版物，并与许多国家密切合作。产出最多的机构和研究人员是雪松西奈医疗中心和阿查里亚·乌尔。然而，即使研究产出较高，大多数机构或研究人员之间的合作也并不紧密。《》是该领域发表文章数量最多的期刊。最重要的关键词是“分类”“诊断”和“风险”。同时，当前的研究热点是“延迟钆增强”和“颈动脉超声”。
人工智能在心血管疾病中具有广阔的应用前景，越来越多的学者致力于心血管疾病的人工智能相关研究。心血管成像技术和合适算法的选择是研究最广泛的领域，预计未来几年这些领域将有显著发展。
