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Mapping the Literature of Artificial Intelligence in Medical Education: A Scientometric Analysis

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Inventive Communication and Computational Technologies (ICICCT 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 757))

Abstract

This study aims to investigate the use of artificial intelligence in health education in the last ten years from 2012 to 2022 using the Scopus database. Researchers use bibliometric analysis combined with the quantification method of Vosviewer and Rstudio software used for literature analysis. The results of the article that were flushed showed data such as the year of publication, journal, country, keywords, and authors, to the highest number of citations. The general keywords used by researchers are artificial intelligence, medical, and education. Researchers limit findings through keywords as in the last ten years and English only so that 1681 articles were obtained. According to the study's findings, McGill University affiliation had the greatest number of papers, with 69 pieces, and medicine had a proportion of 39.7% (n = 1067). This bibliometric study will be useful for other researchers to examine the development of research on artificial intelligence in health education in the last ten years.

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Author information

Authors and Affiliations

  1. Computer Science Department, Bina Nusantara University, Jakarta, 11480, Indonesia

    Fairuz Iqbal Maulana

  2. Informatics Engineering Study Program, University of Madura, Pamekasan, Indonesia

    Muhammad Yasır Zaın

  3. Faculty of Medicine, Universitas Airlangga, Surabaya, 60132, Indonesia

    Dian Lestari

  4. Entrepreneurship Department, BINUS Business School Undergraduate Program, Bina Nusantara University Jakarta, Jakarta, 11480, Indonesia

    Agung Purnomo

  5. Telecommunication Research Center, National Research and Innovation Agency, Jakarta, 11480, Indonesia

    Puput Dani Prasetyo Adi

Authors
  1. Fairuz Iqbal Maulana
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  2. Muhammad Yasır Zaın
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  3. Dian Lestari
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  4. Agung Purnomo
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  5. Puput Dani Prasetyo Adi
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Corresponding author

Correspondence to Fairuz Iqbal Maulana .

Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, Gnanamani College of Technology, Namakkal, Tamil Nadu, India

    G. Ranganathan

  2. Department of Computer Science (HUMAIN-Lab), International Hellenic University, Thessaloniki, Greece

    George A. Papakostas

  3. Information Systems and Operations Management (ISEG), University of Lisbon, Lisboa, Portugal

    Álvaro Rocha

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Maulana, F.I., Zaın, M.Y., Lestari, D., Purnomo, A., Adi, P.D.P. (2023). Mapping the Literature of Artificial Intelligence in Medical Education: A Scientometric Analysis. In: Ranganathan, G., Papakostas, G.A., Rocha, Á. (eds) Inventive Communication and Computational Technologies. ICICCT 2023. Lecture Notes in Networks and Systems, vol 757. Springer, Singapore. https://doi.org/10.1007/978-981-99-5166-6_47

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