Abstract
Automated image analysis and pattern recognition using artificial intelligence is increasingly being used in various fields of science and practice. In the field of medicine, the use of artificial intelligence based on neural networks of various types has found its application in the analysis of digital diagnostic images, mainly in the field of radiology and radiology. The main criterion that determines the effectiveness of the application of artificial intelligence technologies is the degree of sensitivity and specificity of the method, i.e. the percentage of true positive and true false results. In this case, the final decision on the application of diagnostic results using artificial intelligence is made only by a medical specialist who bears medical and legal responsibility for treating a patient. In this case, the main form of application of artificial intelligence in medicine is the formation of systems for making support for medical decisions in medical information systems. The development of diagnostic and medical decision support systems based on neural networks is actively developing. This is due to improved diagnostic accuracy and reduced time required for its implementation. The accuracy of existing systems reaches 97%, but at the moment there is no single diagnostic SPPVR compatible with the information systems of medical organizations. In conditions of active informatization of military health care, the development of a unified medical information system for the military medical service and EHISS, the introduction of AI elements in clinical practice will ensure the unification and standardization of diagnostics, and will improve the quality of the treatment and diagnostic process in the units, units and organizations of the medical service of the Armed Forces of the Russian Federation.
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