文献检索文档翻译深度研究
Suppr Zotero 插件Zotero 插件
邀请有礼套餐&价格历史记录

新学期，新优惠

限时优惠:9月1日-9月22日

30天高级会员仅需29元

1天体验卡首发特惠仅需5.99元

了解详情
不再提醒
插件&应用
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
高级版
套餐订阅购买积分包
AI 工具
文献检索文档翻译深度研究
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2025

关于心电图人工智能领域被引用次数最多的50篇文章的文献计量分析。

A bibliometric analysis of the 50 most cited articles about artificial intelligence in electrocardiogram.

作者信息

Hassan Muhammad Arslan Ul, Mushtaq Sana, Rehman Abdul, Al-Qaisi Mohammed Abdulkarem, Yang Zhen

机构信息

Ningxia Medical University, Yinchuan, China.

General Hospital of Ningxia Medical University, Yinchuan, China.

出版信息

Egypt Heart J. 2025 May 29;77(1):51. doi: 10.1186/s43044-025-00647-x.

DOI:10.1186/s43044-025-00647-x
PMID:40439802
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12122987/
Abstract

BACKGROUND: Artificial intelligence (AI) is a modern tool that increases the diagnostic precision of the classical electrocardiogram (ECG). The objective of this bibliometric analysis was to identify the 50 most cited articles in the domain of AI in ECG, emphasizing publication trends, citation metrics, prominent authors and journals, leading institutions, and significant contributing countries. RESULTS: The 50 most cited articles on AI in ECG were published between 2000 and 2020 across 25 journals. The mean citations per article were 488.0, with the highest citations count being 1870. 'IEEE Transactions on Biomedical Engineering' and 'Computers in Biology and Medicine' published the highest number of articles, while Rajendra Acharya U and RS Tan were the most contributing authors. The USA and China had a total of 14 publications, and Singapore was the country with most collaborations. CONCLUSIONS: This bibliometric analysis provides clinicians and researchers with an overview of evolution and progression of AI in the domain of ECG. Improved collaborations among different countries and institutions are essential for achieving advancements in the utilization of AI in ECG.

摘要

背景：人工智能（AI）是一种提高经典心电图（ECG）诊断精度的现代工具。这项文献计量分析的目的是识别心电图人工智能领域被引用次数最多的50篇文章，重点关注出版趋势、引用指标、杰出作者和期刊、领先机构以及主要贡献国家。 结果：心电图人工智能领域被引用次数最多的50篇文章于2000年至2020年间发表在25种期刊上。每篇文章的平均引用次数为488.0次，最高引用次数为1870次。《IEEE生物医学工程汇刊》和《生物医学中的计算机》发表的文章数量最多，而拉金德拉·阿查里亚·U和RS·谭是贡献最大的作者。美国和中国共有14篇出版物，新加坡是合作最多的国家。 结论：这项文献计量分析为临床医生和研究人员提供了心电图领域人工智能的发展和进展概述。不同国家和机构之间加强合作对于在心电图人工智能应用方面取得进展至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1af9/12122987/24273410ca5e/43044_2025_647_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1af9/12122987/f4b7931a0ff1/43044_2025_647_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1af9/12122987/aa3b1315d7ba/43044_2025_647_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1af9/12122987/7b1a1be3d345/43044_2025_647_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1af9/12122987/5ba164bfce4b/43044_2025_647_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1af9/12122987/e20ba760b5ed/43044_2025_647_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1af9/12122987/f65455995c56/43044_2025_647_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1af9/12122987/b0ff129e45a8/43044_2025_647_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1af9/12122987/72d640af732a/43044_2025_647_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1af9/12122987/24273410ca5e/43044_2025_647_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1af9/12122987/f4b7931a0ff1/43044_2025_647_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1af9/12122987/aa3b1315d7ba/43044_2025_647_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1af9/12122987/7b1a1be3d345/43044_2025_647_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1af9/12122987/5ba164bfce4b/43044_2025_647_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1af9/12122987/e20ba760b5ed/43044_2025_647_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1af9/12122987/f65455995c56/43044_2025_647_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1af9/12122987/b0ff129e45a8/43044_2025_647_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1af9/12122987/72d640af732a/43044_2025_647_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1af9/12122987/24273410ca5e/43044_2025_647_Fig9_HTML.jpg

相似文献

[1]
A bibliometric analysis of the 50 most cited articles about artificial intelligence in electrocardiogram.

Egypt Heart J. 2025-5-29

[2]
Knowledge graph analysis and visualization of artificial intelligence applied in electrocardiogram.

Front Physiol. 2023-2-9

[3]
Identifying and Visualizing Global Research Trends and Hotspots of Artificial Intelligence in Medical Ultrasound: A Bibliometric Analysis.

Curr Med Imaging. 2024

[4]
Artificial intelligence in orthodontics and orthognathic surgery: a bibliometric analysis of the 100 most-cited articles.

Head Face Med. 2023-8-23

[5]
Research Trends in the Application of Artificial Intelligence in Oncology: A Bibliometric and Network Visualization Study.

Front Biosci (Landmark Ed). 2022-8-31

[6]
Comprehensive Global Analysis of Future Trends in Artificial Intelligence-Assisted Veterinary Medicine.

Vet Med Sci. 2025-5

[7]
The highly-cited Electrocardiogram-related articles in science citation index expanded: characteristics and hotspots.

J Electrocardiol. 2014

[8]
Application of artificial intelligence in rheumatic disease: a bibliometric analysis.

Clin Exp Med. 2024-8-23

[9]
The published role of artificial intelligence in drug discovery and development: a bibliometric and social network analysis from 1990 to 2023.

J Cheminform. 2025-5-8

[10]
Research output of artificial intelligence in arrhythmia from 2004 to 2021: a bibliometric analysis.

J Thorac Dis. 2022-5

本文引用的文献

[1]
A bibliometric analysis of the 50 most cited articles about quality of life in patients with atrial fibrillation.

Egypt Heart J. 2025-2-17

[2]
Application of Artificial Intelligence in Cardiology: A Bibliometric Analysis.

Cureus. 2024-8-15

[3]
Algorithmic fairness in artificial intelligence for medicine and healthcare.

Nat Biomed Eng. 2023-6

[4]
Does knowledge have a half-life? An observational study analyzing the use of older citations in medical and scientific publications.

BMJ Open. 2023-5-22

[5]
Current and Future Use of Artificial Intelligence in Electrocardiography.

J Cardiovasc Dev Dis. 2023-4-17

[6]
AI in Healthcare.

Stud Health Technol Inform. 2021-12-15

[7]
The promise of artificial intelligence: a review of the opportunities and challenges of artificial intelligence in healthcare.

Br Med Bull. 2021-9-10

[8]
Artificial intelligence-enhanced electrocardiography in cardiovascular disease management.

Nat Rev Cardiol. 2021-7

[9]
The Role of Electrocardiography in Occupational Medicine, from Einthoven's Invention to the Digital Era of Wearable Devices.

Int J Environ Res Public Health. 2020-7-10

[10]
Artificial Intelligence and Machine Learning in Arrhythmias and Cardiac Electrophysiology.

Circ Arrhythm Electrophysiol. 2020-7-6

文献AI研究员

20分钟写一篇综述，助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

推荐工具

医学文档翻译智能文献检索