Journal Article Epublish 9 citations
PubMed: 38433757 DOI: 10.3389/fcvm.2024.1323918
Artificial intelligence applied in cardiovascular disease: a bibliometric and visual analysis.
Front Cardiovasc Med 11:1323918
Authors: Jirong Zhang, Jimei Zhang, Juan Jin, Xicheng Jiang, Linlin Yang, Shiqi Fan, Qiao Zhang, Ming Chi
Affiliations
- Graduate School, Heilongjiang University of Chinese Medicine, Harbin, Heilongjiang, China.
- College of Public Health, The University of Sydney, NSW, Sydney, Australia.
- The First Department of Cardiovascular, First Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin, HL, China.
- College of basic medicine, Heilongjiang University of Chinese Medicine, Harbin, HL, China.
- Cardiovascular Disease Branch, Dalian Second People's Hospital, Dalian, LN, China.
- Harbin hospital of traditional Chinese medicine, Harbin, HL, China.
- School of Pharmacy, Harbin University of Commerce, Harbin, HL, China.
Abstract
Background
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.
Objective
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.
Methods
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.
Results
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".
Conclusions
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.
MeSH
Intelligence, Cardiovascular Diseases, Diagnosis, Research, Artificial Intelligence
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