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The Evolution of Artificial Intelligence in Medical Informatics: A Bibliometric Analysis

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Progress in Artificial Intelligence (EPIA 2021)

Abstract

Artificial intelligence (AI) and medical informatics research fields have considerable overlap, with technologies supporting different health issues in different contexts. In this work, we aimed to map out and understand the contributions of AI in medical informatics over time. To that, we applied bibliometric analysis with scientific literature since the 1970s. The production of papers exponentially increased over time, and we found periods with similar characteristics of the content. We also identified different clusters of technologies and applications varying according to the periods and related keywords. We hypothesized some future directions for the use of AI in medical informatics.

This study was supported by the Fiocruz Strategy for 2030 Agenda.

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Notes

  1. 1.

    In fact, the authors suggest two ‘AI Winters’, in the late 1970s and in the late 1980s and early 1990s.

  2. 2.

    https://www.ncbi.nlm.nih.gov/mesh/?term=artificial+intelligence.

  3. 3.

    https://dl.acm.org/ccs.

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Penteado, B.E., Fornazin, M., Castro, L. (2021). The Evolution of Artificial Intelligence in Medical Informatics: A Bibliometric Analysis. In: Marreiros, G., Melo, F.S., Lau, N., Lopes Cardoso, H., Reis, L.P. (eds) Progress in Artificial Intelligence. EPIA 2021. Lecture Notes in Computer Science(), vol 12981. Springer, Cham. https://doi.org/10.1007/978-3-030-86230-5_10

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  • DOI: https://doi.org/10.1007/978-3-030-86230-5_10

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