Articles

Here we describe building a control impact intended to medically suppress tumor growth. The synthesis of control has been carried out using the method of linearization of a nonlinear system with state feedback. As a result of the study, a control law was obtained that provides the system with local stability, which translates into cessation of tumor growth in physical sense. The adequacy of the tumor growth model is achieved by constructing it using a self-organization algorithm with trend reser...

Causative relationships of microbiota with the human’s health and diseases are one of the most challenging issues in modern microbiology. Progress in this field could provide new tools for diagnosis, prophylaxis, and treatment. A new automated approach is proposed, as an addition to the methods of multidimensional statistical analysis. This approach is based on a planar projection of multidimensional analytical data and is distinguished by technological simplicity and clarity of the process of operational...

New measures to decrease the burden from cardiovascular morbidity are of great socio-economic importance. The aim of the study was to create artificial intelligence technology incorporating various methods and approaches for presenting and using knowledge to assess and predict individual risks of developing cardiovascular events. The following risk presenting models were used: scoring system, multivariate Weibull and logistic regression, artificial neural networks; an ontological approach for ex...

Information technologies in modern continuous professional education (CPE) of medical workers are playing an increasingly active role, becoming the basis for the training organization. Aiming to substantiate the strategy for the further development of CPE, we conducted a questionnaire survey of doctors (n=211) immersed in new forms of training using distance learning technologies. Furthermore, regulatory documents were provided that should become a basis for creating conditions f...

The problem of early and timely accurate diagnosis of rare hereditary diseases is global. The use of physician-assisted computer systems could solve it. There are various foreign medical decision support systems. However, there are currently no domestic functioning systems to resolve these issues.
The aim of this study is to improve the timeliness and accuracy of making a correct diagnosis in patients with signs of hereditary lysosomal storage diseases using an intelligent computer decision support...

Currently, there are no unified methodological approaches to diagnose certain diseases, syndromes, symptoms, where distant diagnostics and telemedicine-based treatment prescription are legal and feasible. There are limited and empirically generated lists of pathological conditions, accounting for possible risks. The development of regulatory and legal support for telemedicine-based medical care should be based on a scientific approach, providing for safety and quality assurance. Objective: to de...

Background. Considering the growing interest of researchers and clinical specialists in algorithms for processing medical data, the prospects for the applied application of such approaches have significantly increased, primarily, involving the use of deep neural networks in the tasks of detecting pathological areas. However, the use of such approaches is associated with a low level of localization accuracy, insufficient to translate the developments into the field of assistive systems for making...

The rationale for use of artificial intelligence (AI) in radiology departments to analyze medical images in real-life clinical practice was studied in a multicenter prospective trial. This was a part of the “Experiment on the use of innovative technologies in the field of computer vision for the analysis of medical images and further use in the healthcare system of Moscow” taking place in 2020. The trial included 18 different AI systems and 538 participating radiologists, all working wit...

Background. Remote follow-up of patients with chronic non-communicable diseases is an increasingly popular and one of the most fast-growing telemedicine branches, mainly due to COVID-19 pandemic. There are certain premises for a wider and more routine use of telemedicine, one of them being coverage of telemedical consultations by the government insurance program. Aim. To test a remote self-control program for patients with chronic non-infectious diseases who are followed-up by the doctors of the...