POTENTIAL OF USING NEURAL NETWORKS IN THE FIELD OF MEDICINE

UDC 004.891
DOI: 10.36871/2618-9976.2022.11-2.004

Authors

Egor A. Rybko
Graduate of the Department of Information Systems and Technologies of Yaroslavl State Technical University, Yaroslavl, Russia
Elena I. Voevodina
Senior Lecturer at the Department of Information Systems and Technologies of Yaroslavl State Technical University, Yaroslavl, Russia
Alexey D. Burykin
Doctor of Economics Sciences, Professor of the Department of Economics and Management of the Academy of Labor and Social Relations, Yaroslavl, Russia

Abstract

The article considers the history of the creation, development and expansion of areas of application of artificial intelligence algorithms. The relevance and necessity of implementing these algorithms in medicine is disclosed. The authors analyzed the possibilities of using big data and machine learning in diagnosing various groups of diseases in the medical industry, including the use of artificial intelligence for diagnosing diseases of the respiratory system, the genitourinary system, diseases of the skin and subcutaneous tissue, and the circulatory system.

Keywords

Neural networks, Artificial intelligence, Deep learning, Machine learning, Big data, Information Technology, Diagnostics, Computer diagnostics