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.

References

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9El-Hajj VG, Gharios M, Edström E, Elmi-Terander A. Artificial Intelligence in Neurosurgery: A Bibliometric Analysis. World Neurosurg. 2023;171:152-158. http://doi.org/10.1016/j.wneu.2022.12.087.

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14Wang Z, Zhang F, Wang L, Yuan H, Guan D, Zhao R. Advances in artificial intelligence-based microbiome for PMI estimation. Front Microbiol. 2022;13:1034051. http://doi.org/10.3389/fmicb.2022.1034051

15Yuan H, Wang Z, Wang Z, Zhang F, Guan D, Zhao R. Trends in forensic microbiology: From classical methods to deep learning. Front Microbiol. 2023;14:1163741. http://doi.org/10.3389/fmicb.2023.1163741

16Kudeikina I, Loseviča M, Gutorova NO. Legal and practical problems of use of artificial intelligence-based robots in forensic psychiatry. Wiad Lek. 2021;74(11 cz 2):3042-3047. https://pubmed.ncbi.nlm.nih.gov/35029577/

Artificial Intelligence and Forensic Sciences: A Bibliometric Analysis of Publications

ABSTRACT

References