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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Jan 26, 2023
Open Peer Review Period: Jan 26, 2023 - Mar 23, 2023
Date Accepted: May 25, 2023
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Application of Artificial Intelligence in Geriatric Care: Bibliometric Analysis

Wang J, Liang Y, Cao S, Cai P, Fan Y

Application of Artificial Intelligence in Geriatric Care: Bibliometric Analysis

J Med Internet Res 2023;25:e46014

DOI: 10.2196/46014

PMID: 37351923

PMCID: 10337465

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Application of artificial intelligence in geriatric care: A bibliometric analysis

  • Jingjing Wang; 
  • Yiqing Liang; 
  • Songmei Cao; 
  • Peixuan Cai; 
  • Yimeng Fan

ABSTRACT

Background:

Artificial intelligence can improve the health and well-being of older adults and has the potential to assist and improve nursing care. In recent years, research in this area has been increasing. A systematic and comprehensive analysis of the existing research helps us to understand the development trends and research hotspots in the field. Therefore, we conducted this study to examine the trends in the application of artificial intelligence in geriatric care via bibliometric analysis.

Objective:

Using bibliometric analysis, this study examines the application of artificial intelligence in geriatric care.

Methods:

The Web of Science Core Collection database was used as a source. All publications were downloaded from the inception to August 2022. The external characteristics of the publications were summarized through HistCite and the Web of Science. Keywords and collaborative networks were analyzed using visualization tools.

Results:

We obtained a total of 194 publications. The works originated in 422 institutions in 37 countries, were published in 106 journals, and written by 977 authors. Among the 194 publications, four clusters and complex partnerships were identified.

Conclusions:

Research on the application of artificial intelligence in geriatric care has developed rapidly. In the future, strengthening the cooperation and communication between different countries/regions and institutions may further drive this field’s development. Clinical Trial: artificial intelligence, geriatric care, bibliometric analysis, burst keywords, citation analysis


 Citation

Please cite as:

Wang J, Liang Y, Cao S, Cai P, Fan Y

Application of Artificial Intelligence in Geriatric Care: Bibliometric Analysis

J Med Internet Res 2023;25:e46014

DOI: 10.2196/46014

PMID: 37351923

PMCID: 10337465

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