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REVIEW article

Front. Artif. Intell.
Sec. Machine Learning and Artificial Intelligence
Volume 7 - 2024 | doi: 10.3389/frai.2024.1347815

Bibliometric Analysis for Artificial Intelligence in Internet of Medical Things: Mapping and Performance Analysis

Provisionally accepted
Haruna Chiroma Haruna Chiroma 1*Ibrahim Abaker Hashem Ibrahim Abaker Hashem 2*Mohammed Maray Mohammed Maray 3
  • 1 University of Hafr Al Batin, Hafar Al Batin, Saudi Arabia
  • 2 University of Sharjah, Sharjah, United Arab Emirates
  • 3 King Khalid University, Abha, Saudi Arabia

The final, formatted version of the article will be published soon.

    The development in computer technology revolutionized the way people live and interact in the society. The Internet of things has brought the development of internet of medical things for the transformation of healthcare delivery. Different aspect of artificial intelligence has been used to improve the internet of medical things. Despite the significant 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 for internet of medical things has been conducted. To close this gap, this paper proposed to perform a comprehensive bibliometric analysis on the applications of artificial intelligence in internet of medical things. Bibliometric analysis of top sources of literature, main disciplines, countries, prolific authors, trending topics, authorship, citations, author-keywords and co-keywords were evaluated. In addition, the structural development of the artificial intelligence in internet of medical things showing growing popularity of the internet of medical things. It was found in the study undoubtedly that the issue of security and privacy were serious source of disquiet hindering massive adoption of the internet of medical things. Future research on internet of medical things from perspective of artificial general intelligence, generative artificial intelligence, and explainable artificial intelligence were outlined and discussed.

    Keywords: artificial intelligence, artificial general intelligence, bibliometric analysis, Explainable artificial intelligence, Generative artificial intelligence, Internet of medical things, Sensors

    Received: 01 Dec 2023; Accepted: 07 Jun 2024.

    Copyright: © 2024 Chiroma, Hashem and Maray. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Haruna Chiroma, University of Hafr Al Batin, Hafar Al Batin, Saudi Arabia
    Ibrahim Abaker Hashem, University of Sharjah, Sharjah, 27272, United Arab Emirates

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.