1. Digital technologies in the diagnosis and treatment of neurological diseases
- Author
-
N. V. Petukhova, S. P. Grachev, M. V. Zamegrad, and M. P. Farkhadov
- Subjects
medicine.medical_specialty ,Neurology ,Computer science ,computer-aided diagnostic systems ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Electroencephalography ,Diagnostic system ,Convolutional neural network ,rehabilitation ,03 medical and health sciences ,0302 clinical medicine ,Digital image processing ,medicine ,Medical physics ,RC346-429 ,030304 developmental biology ,digital technologies ,0303 health sciences ,imbalance ,medicine.diagnostic_test ,Priority areas ,Psychiatry and Mental health ,Clinical Psychology ,image recognition ,virtual reality ,epilepsy ,alzheimer's disease ,Neurology (clinical) ,Neurology. Diseases of the nervous system ,artificial neural networks ,030217 neurology & neurosurgery ,electroencephalography - Abstract
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.
- Published
- 2019