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    E-ISSN: 2149-4533 ISSN: 1300-865X
    Artificial Intelligence and Forensic Sciences: A Bibliometric Analysis of Publications
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    Original Research
    VOLUME: 28 ISSUE: 3
    P: 224-228
    December 2023

    Artificial Intelligence and Forensic Sciences: A Bibliometric Analysis of Publications

    The Bulletin of Legal Medicine 2023;28(3):224-228
    DOI: 10.17986/blm.1661
    Halil İlhan Aydoğdu
    1. Giresun Üniversitesi Tıp Fakültesi, Adli Tıp Anabilim Dalı, Giresun, Türkiye
    No information available.
    No information available
    Received Date: 22.04.2023
    Accepted Date: 08.06.2023
    Publish Date: 30.11.2023
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    ABSTRACT

    Objective:

    Forensic science is a superstructure that encompasses many specialized fields that require expertise. In recent years, studies have been conducted on artificial intelligence and machine learning-based applications in almost all areas of forensic science. The aim of our study is to determine the trends related to the research/application areas of artificial intelligence and machine learning-based programs in forensic sciences and to make predictions about the future of the subject, and to contribute to the professionals working in the field.

    Methods:

    When the Web of Science database was searched with the keywords “artificial intelligence/machine learning” and “forensic/forensic science” in the title or abstract between 2001-2023, 229 results were obtained. Simple frequency analyses were performed using IBM SPSS 23 software for the study, and R Studio and Vosviewer (version1.16.19) programs were used for bibliometric analysis.

    Results:

    It was found that there were 229 publications meeting the criteria, and the most studies on the subject were published in the International Journal of Legal Medicine with 9 publications. The most frequently published countries were the United States with 32 (13.9%) publications, China with 30 (13.04%) publications, and India with 23 (10%) publications. The most commonly used keywords in the publications were “artificial intelligence”, “deep learning” and “machine learning”.

    Conclusion:

    The results of this analysis show that artificial intelligence and machine learning-based systems have become increasingly studied in many areas of forensic science in recent years. As machine learning/artificial intelligence programs are developed, it is likely that these applications will be used in forensic science/forensic medicine practice.

    Keywords: Artificial intelligence, machine learning, forensic sciences, bibliometric analysis

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