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Digital technologies in the diagnosis and treatment of neurological diseases

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The review considers works devoted to convolutional neural networks as a main method for digital image processing, as well as to the diagnosis of neurological diseases based on computer-aided analysis of magnetic resonance imaging and electroencephalography. It describes approaches to building computer-aided diagnostic systems and gives examples of these systems in neurology. The virtual reality technology used to rehabilitate patients with imbalance, posttraumatic disorders, and consequences of stroke is presented. Digitalization is stated to be one of the priority areas for medicine development.

About the Authors

N. V. Petukhova
V.A. Trapeznikov Institute of Management Problems, Russian Academy of Sciences
Russian Federation
65, Profsoyuznaya St, Build. 1, Moscow 117997

M. P. Farkhadov
V.A. Trapeznikov Institute of Management Problems, Russian Academy of Sciences
Russian Federation
65, Profsoyuznaya St, Build. 1, Moscow 117997

M. V. Zamegrad
Department of Neurology, Russian Medical Academy of Continuing Professional Education, Ministry of Health of Russia; Russian Research and Clinical Center of Gerontology (Separate Subdivision), N.I. Pirogov Russian National Research Medical University, Ministry of Health of Russia
Russian Federation

2/1, Barrikadnaya St., Build. 1, Moscow 125993;

16, First Leonov St., Moscow 129226

S. P. Grachev
Department of Cardiology, A.I. Evdokimov Moscow State University of Medicine and Dentistry, Ministry of Health of Russia
Russian Federation
11/1, Yauzskaya St., Moscow 109240


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For citation:

Petukhova N.V., Farkhadov M.P., Zamegrad M.V., Grachev S.P. Digital technologies in the diagnosis and treatment of neurological diseases. Neurology, Neuropsychiatry, Psychosomatics. 2019;11(4):104-110. (In Russ.)

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ISSN 2074-2711 (Print)
ISSN 2310-1342 (Online)