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MD&IT №4 2021
Russian health blogs remain under-explored, despite their growing popularity. Our goal is to evaluate the degree of research development regarding health blogging in Russia. We analysed and grouped key studies in the Russian language retrieved from the national scientific database eLibrary , where there are general descriptions of interactions between physicians and the internet. Some articles are dedicated to exploring personal branding in social media, while several other papers describe techn...
MD&IT №3 2021
In this article, we provide a brief overview of precision and predictive medicine, which use modern medical diagnostics, molecular medicine approaches, and information technology. This includes artificial intelligence and machine learning to analyse medical data in order to improve the diagnosis, prognosis, and treatment of diseases. The development of effective predictive medicine is changing the traditional medical approach to diseases and patients from the reactive paradigm of response to dis...
MD&IT №3 2021
Is it possible to link the prevalence of cancer cases in a Russian region with the age of its population and several environmental variables, specifically by levels of atmospheric air pollution, emissions of radioactive elements, and discharges of contaminated wastewater? The aim of the study is to build a linear regression model that links the oncologic incidence of the population Y within the region in year t with the listed factors taken with lags. One of the variables was qualitative and the...
MD&IT №2 2021
The purpose of the article is to identify the main trends, prospects, limitations, and factors affecting the usage of virtual and augmented reality technologies in healthcare. The article is based on the author’s qualitative sociological study, with the usage of in-depth, expert interview methods, and a review of foreign and Russian publications.
MD&IT №2 2021
The article describes the main aspects of machine learning and artificial intelligence technologies, and the possibilities of their application within anaesthesiology departments and intensive care units. The modern experience of using digital systems for the analysis, forecasting and management of patient data from the point of view of clinical and economic efficiency is presented. The authors present the main functionality of the information system for the support of IntelliSpace Critical Care...