Citation:

Vijender Pal Saini, Pooja Rani, Poonam. "A Bibliometric Analysis of AI in Healthcare: Current Status and Development" International Research Journal of Economics and Management Studies, Vol. 4, No. 10, pp. 14-22, 2025. Crossref. http://doi.org/10.56472/25835238/IRJEMS-V4I10P103

Abstract:

The application of AI has attracted great interest in healthcare. This study examines the association between AI and Healthcare by analyzing metadata from 960 Scopus-indexed papers (2019-2025) using the keywords "AI" OR "Artificial Intelligence" AND “Healthcare”. The study identifies major publication sources, trends, and volumes by conducting citation, co-citation, and keyword co-occurrence studies using VOSviewer. The software analysis focuses on the most influential journals, organizations, nations, keywords, international collaborations, and publications in this area. The ‘BMC Medical Education’ journal has the highest growth rate, with 40 publications. The author Zhang L has published the most documents (6). ‘The University of Singapore’ has the most contributions in this field with 35 publications. ‘The United States’ has the most publications (565) and total citations (1879). The VOSviewer software visualizes mapping based on co-citation, bibliographic coupling (BC), and co-occurrence (CO). The primary limitation of the study is its dependence on Scopus data. Linking and analyzing this data can help keep track of how the topic has changed over time. This study offers significant insights for researchers and academics aimed at fostering the advancement of methodologies to optimize the utilization of AI in healthcare and formulating a research agenda for continued investigation in this vital domain. This study offers significant insights for both social science researchers and academic practitioners.

References:

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Keywords:

AI, Artificial Intelligence, Healthcare, Bibliometric Analysis.