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电子健康领域人工智能应用采用情况的文献计量分析

Bibliometric analysis on the adoption of artificial intelligence applications in the e-health sector.

作者信息

Shaikh Abdul Khalique, Alhashmi Saadat M, Khalique Nadia, Khedr Ahmed M, Raahemifar Kaamran, Bukhari Sadaf

机构信息

College of Economics and Political Science, Sultan Qaboos University, Muscat, Oman.

Department of Information Systems, College of Computing and Informatics, University of Sharjah, Sharjah, United Arab Emirates.

出版信息

Digit Health. 2023 Jan 17;9:20552076221149296. doi: 10.1177/20552076221149296. eCollection 2023 Jan-Dec.

DOI:10.1177/20552076221149296
PMID:36683951
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9850136/
Abstract

Artificial Intelligent (AI) applications in e-health have evolved considerably in the last 25 years. To track the current research progress in this field, there is a need to analyze the most recent trend of adopting AI applications in e-health. This bibliometric analysis study covers AI applications in e-health. It differs from the existing literature review as the journal articles are obtained from the Scopus database from its beginning to late 2021 (25 years), which depicts the most recent trend of AI in e-health. The bibliometric analysis is employed to find the statistical and quantitative analysis of available literature of a specific field of study for a particular period. An extensive global literature review is performed to identify the significant research area, authors, or their relationship through published articles. It also provides the researchers with an overview of the work evolution of specific research fields. The study's main contribution highlights the essential authors, journals, institutes, keywords, and states in developing the AI field in e-health.

摘要

在过去25年里，人工智能（AI）在电子健康领域的应用有了长足发展。为了追踪该领域当前的研究进展，有必要分析在电子健康中采用人工智能应用的最新趋势。这项文献计量分析研究涵盖了人工智能在电子健康中的应用。它与现有的文献综述不同，因为期刊文章是从Scopus数据库自创建至2021年末（25年）获取的，描绘了人工智能在电子健康中的最新趋势。文献计量分析用于对特定研究领域在特定时期的现有文献进行统计和定量分析。通过已发表的文章进行广泛的全球文献综述，以确定重要的研究领域、作者或他们之间的关系。它还为研究人员提供了特定研究领域工作演变的概述。该研究的主要贡献突出了在电子健康领域人工智能发展过程中的重要作者、期刊、机构、关键词和国家。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9041/9850136/2210762122d6/10.1177_20552076221149296-fig13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9041/9850136/5a390895f528/10.1177_20552076221149296-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9041/9850136/877c9c86a872/10.1177_20552076221149296-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9041/9850136/214eb959cef6/10.1177_20552076221149296-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9041/9850136/3865956f5a16/10.1177_20552076221149296-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9041/9850136/2b95cb26a3e3/10.1177_20552076221149296-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9041/9850136/d0ccd8053038/10.1177_20552076221149296-fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9041/9850136/1695f61b1abf/10.1177_20552076221149296-fig7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9041/9850136/2b7de7a6340e/10.1177_20552076221149296-fig8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9041/9850136/5b8f4670282c/10.1177_20552076221149296-fig9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9041/9850136/6cbd635efaae/10.1177_20552076221149296-fig10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9041/9850136/16d7520462de/10.1177_20552076221149296-fig11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9041/9850136/e331de97c61c/10.1177_20552076221149296-fig12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9041/9850136/2210762122d6/10.1177_20552076221149296-fig13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9041/9850136/5a390895f528/10.1177_20552076221149296-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9041/9850136/877c9c86a872/10.1177_20552076221149296-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9041/9850136/214eb959cef6/10.1177_20552076221149296-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9041/9850136/3865956f5a16/10.1177_20552076221149296-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9041/9850136/2b95cb26a3e3/10.1177_20552076221149296-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9041/9850136/d0ccd8053038/10.1177_20552076221149296-fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9041/9850136/1695f61b1abf/10.1177_20552076221149296-fig7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9041/9850136/2b7de7a6340e/10.1177_20552076221149296-fig8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9041/9850136/5b8f4670282c/10.1177_20552076221149296-fig9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9041/9850136/6cbd635efaae/10.1177_20552076221149296-fig10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9041/9850136/16d7520462de/10.1177_20552076221149296-fig11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9041/9850136/e331de97c61c/10.1177_20552076221149296-fig12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9041/9850136/2210762122d6/10.1177_20552076221149296-fig13.jpg

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[7]
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本文引用的文献

[1]
Survey on e-health knowledge and usage in general cardiology of the Council of Cardiology Practice and the Digital Health Committee.

Eur Heart J Digit Health. 2021-4-7

[2]
Breast cancer detection using artificial intelligence techniques: A systematic literature review.

Artif Intell Med. 2022-5

[3]
A Systematic Review and Bibliometric Analysis of Applications of Artificial Intelligence and Machine Learning in Vascular Surgery.

Ann Vasc Surg. 2022-9

[4]
Editorial: Artificial Intelligence for eHealth.

Front Public Health. 2022-3-4

[5]
How digital marketing evolved over time: A bibliometric analysis on scopus database.

Heliyon. 2021-12-14

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Influential Usage of Big Data and Artificial Intelligence in Healthcare.

Comput Math Methods Med. 2021

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Environ Sci Pollut Res Int. 2021-10

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Literature Review on the Applications of Machine Learning and Blockchain Technology in Smart Healthcare Industry: A Bibliometric Analysis.

J Healthc Eng. 2021

[9]
Responsible Artificial Intelligence as a Secret Ingredient for Digital Health: Bibliometric Analysis, Insights, and Research Directions.

Inf Syst Front. 2021-5-15

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