心脏病学中的人工智能：一项文献计量学研究。

Artificial intelligence in cardiology: a bibliometric study.

作者信息

Zhang Yalan, Xie Jingwen, Fu Enlong, Cai Wan, Xu Wentan

机构信息

Department of Pharmacy, The Second Affiliated Hospital of Fujian Medical University Quanzhou, Fujian, China.

Guangzhou University of Chinese Medicine Guangzhou, Guangdong, China.

出版信息

Am J Transl Res. 2024 Mar 15;16(3):1029-1035. doi: 10.62347/HSFE6936. eCollection 2024.

DOI:10.62347/HSFE6936

PMID:38586089

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10994793/

Abstract

OBJECTIVES

To perform a comprehensive bibliometric analysis of global publications on the applications of artificial intelligence (AI) in cardiology.

METHODS

Documents related to AI in cardiology published between 2002 and 2022 were retrieved from Web of Science Core Collection. R package "bibliometrix", VOSviewers and Microsoft Excel were applied to perform the bibliometric analysis.

RESULTS

A total of 4332 articles were included. United States topped the list of countries publishing articles, followed by China and United Kingdom. The Harvard University was the institution that contributed the most to this field, followed by University of California System and University of London. Disease risk prediction, diagnosis, treatment, disease detection, and prognosis assessment were the research hotspots for AI in cardiology.

CONCLUSIONS

Enhancing cooperation between different countries and institutions is a critical step in leading to breakthroughs in the application of AI in cardiology. It is foreseeable that the application of machine learning and deep learning in various areas of cardiology will be a research priority in the coming years.

摘要