Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2024 Aug 12:7:1347815.
doi: 10.3389/frai.2024.1347815. eCollection 2024.

Bibliometric analysis for artificial intelligence in the internet of medical things: mapping and performance analysis

Haruna Chiroma  1 , Ibrahim Abaker Targio Hashem  2 , Mohammed Maray  3
Affiliations
Review

Bibliometric analysis for artificial intelligence in the internet of medical things: mapping and performance analysis

Haruna Chiroma et al. Front Artif Intell. .

Abstract

The development of computer technology has revolutionized how people live and interact in society. The Internet of Things (IoT) has enabled the development of the Internet of Medical Things (IoMT) to transform healthcare delivery. Artificial intelligence has been used to improve the IoMT. Despite the significance of bibliometric analysis in a research area, to the best of the authors' knowledge, based on searches conducted in academic databases, no bibliometric analysis on artificial intelligence (AI) for the IoMT has been conducted. To address this gap, this study proposes performing a comprehensive bibliometric analysis of AI applications in the IoMT. A bibliometric analysis of top literature sources, main disciplines, countries, prolific authors, trending topics, authorship, citations, author-keywords, and co-keywords was conducted. In addition, the structural development of AI in the IoMT highlights its growing popularity. This study found that security and privacy issues are serious concerns hindering the massive adoption of the IoMT. Future research directions on the IoMT, including perspectives on artificial general intelligence, generative artificial intelligence, and explainable artificial intelligence, have been outlined and discussed.

Keywords: artificial general intelligence; artificial intelligence; bibliometric analysis; explainable artificial intelligence; generative artificial intelligence; internet of medical things; sensors.

PubMed Disclaimer

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
The stages in the procedure of the bibliometric analysis methodology.
Figure 2
Figure 2
Bibliometric analysis metrics.
Figure 3
Figure 3
The distribution of the document types publishing the research on the applications of AI in the IoMT.
Figure 4
Figure 4
The ranking of the top 10 countries with the highest number of contributions.
Figure 5
Figure 5
Top number of documents by countries publishing in the field of AI in the IoMT.
Figure 6
Figure 6
Contributions to the IoMT based on disciplines.
Figure 7
Figure 7
Average citations per year.
Figure 8
Figure 8
Most globally citable documents.
Figure 9
Figure 9
Top 20 authors' institutional affiliations.
Figure 10
Figure 10
Treemap of articles based on the keywords.
Figure 11
Figure 11
Topics trending in the research field.
Figure 12
Figure 12
Co-word appearance.
Figure 13
Figure 13
Author keyword visual network structure.
Figure 14
Figure 14
Bibliometric co-authorship coupling.
Figure 15
Figure 15
Bibliometric mapping Coupling the author's countries.
See this image and copyright information in PMC

References

    1. Al-Turjman F., Nawaz M. H., Ulusar U. D. (2020). Intelligence in the internet of medical things era: a systematic review of current and future trends. Comput. Commun. 150, 644–660. 10.1016/j.comcom.2019.12.030 - DOI
    1. Ashfaq Z., Rafay A., Mumtaz R., Zaidi S. M. H., Saleem H., Zaidi S. A. R., et al. . (2022). A review of enabling technologies for the Internet of Medical Things (IoMT) Ecosystem. Ain Shams Eng. J. 13:101660. 10.1016/j.asej.2021.101660 - DOI
    1. Bajaj A., Bhatnagar M., Chauhan A. (2021). “Recent trends in Internet of medical things: a review,” in Advances in Machine Learning and Computational Intelligence: Proceedings of ICMLCI 2019, 645–656. 10.1007/978-981-15-5243-4_61 - DOI
    1. Bettera L., Levante A., Bancalari E., Bottari B., Gatti M. (2022). Lactic acid bacteria in cow raw milk for cheese production: Which and how many? Front. Microbiol. 13:1092224. 10.3389/fmicb.2022.1092224 - DOI - PMC - PubMed
    1. Biffi C., Cerrolaza J. J., Tarroni G., Bai W., De Marvao A., Oktay O., et al. . (2020). Explainable anatomical shape analysis through deep hierarchical generative models. IEEE Trans. Med. Imaging 39, 2088–2099. 10.1109/TMI.2020.2964499 - DOI - PMC - PubMed

LinkOut - more resources