Artificial Neural Networks in Forensic Medicine (review)

Authors

  • KotsyubynskaYu.Z
  • Kozan N.M.
  • Zelenchuk G.M.
  • Voloshinovich V.M
  • Kotsyubynsky A.O.

DOI:

https://doi.org/10.37506/mlu.v21i3.3012

Keywords:

artificial neural networks, artificial intelligence, forensic medicine, identification of a person.

Abstract

Thearticle deals with the possibilities and limitations of the use of artificial neural networks in forensic
medical practice. It is known that in the work of forensic medicine experts have to process and evaluate
a large amount of information, which may belong to different types of data - the site inspection protocols,
photographic materials, macroscopic data obtained during the autopsy of the corpse, the results of laboratory
tests, medical records etc. All the received data should be studied, categorized and evaluated according to
international standards. Modern computer technologies of artificial intelligence (artificial neural networks)
can help in the handling of forensic medicine data, which, in turn, will reduce to a minimum the probability
of mistakes in preparation of expert conclusions.The algorithms used in artificial neural networks, as a result
of processing different types of input data, can direct them to the resulting categorized outputs and structure
them.

Author Biographies

KotsyubynskaYu.Z

Ivano-Frankivsk National Medical University, Ivano-Frankivsk , Ukraine

Kozan N.M.

Ivano-Frankivsk National Medical University, Ivano-Frankivsk

Zelenchuk G.M.

Ivano-Frankivsk National Medical University, Ivano-Frankivsk , Ukraine

Voloshinovich V.M

Ivano-Frankivsk National Medical University, Ivano-Frankivsk , Ukraine

Kotsyubynsky A.O.

Ivano-Frankivsk National Technical University of Oil and Gas, Ivano-Frankivsk, Ukraine

Published

2021-06-03

How to Cite

KotsyubynskaYu.Z, Kozan N.M., G.M., Z. ., Voloshinovich V.M, & Kotsyubynsky A.O. (2021). Artificial Neural Networks in Forensic Medicine (review). Medico Legal Update, 21(3), 346-352. https://doi.org/10.37506/mlu.v21i3.3012

Most read articles by the same author(s)