Artificial Neural Networks in Forensic Medicine (review)

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.