Open AccessProspects for the use of artificial neural networks for problem solving in clinical transplantation
Author(s) -
Р. М. Курабекова,
A. A. Belchenkov,
О. П. Шевченко
Publication year - 2021
Publication title -
vestnik transplantologii i iskusstvennyh organov
Language(s) - English
Resource type - Journals
eISSN - 2412-6160
pISSN - 1995-1191
DOI - 10.15825/1995-1191-2021-2-177-182
Subject(s) - structuring , artificial intelligence , artificial neural network , transplantation , computer science , machine learning , medicine , surgery , finance , economics
Management of solid organ recipients requires a significant amount of research and observation throughout the recipient’s life. This is associated with accumulation of large amounts of information that requires structuring and subsequent analysis. Information technologies such as machine learning, neural networks and other artificial intelligence tools make it possible to analyze the so-called ‘big data’. Machine learning technologies are based on the concept of a machine that mimics human intelligence and and makes it possible to identify patterns that are inaccessible to traditional methods. There are still few examples of the use of artificial intelligence programs in transplantology. However, their number has increased markedly in recent years. A review of modern literature on the use of artificial intelligence systems in transplantology is presented.