Articles filtered by author Gusev A.V..
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MD&IT №4 2023
Implementation of Artificial Intelligence (AI) is considered one of the most promising directions in the digital transformation of healthcare. Such systems can improve the quality of therapeutic and diagnostic processes and the efficiency of planning and managing the healthcare industry. However, the potential of AI to enhance public health indicators and improve the functioning quality of the healthcare system is inextricably linked to ethical issues arising from the specific aspects of their creation...
MD&IT №3 2023
Aim: to develop a model predicting the incidence of newly diagnosed HIV infection in the subjects of the Russian Federation using machine learning methods.
Materials and methods: The initial data were obtained from the Federal statistical observation Form No. 61 and Rosstat data on the average annual population of 85 subjects of the Russian Federation (2016-2022). We made a comparison of machine learning methods and their ensembles in the construction of a regression model for predicting the incidence...
Materials and methods: The initial data were obtained from the Federal statistical observation Form No. 61 and Rosstat data on the average annual population of 85 subjects of the Russian Federation (2016-2022). We made a comparison of machine learning methods and their ensembles in the construction of a regression model for predicting the incidence...
MD&IT №1 2023
Aim. Healthcare is one of the priority sectors for the introduction of artificial intelligence (AI) technologies. The aim of the survey was to assess the awareness and collect opinions of Russian healthcare managers on AI technologies.
Materials and methods. An online survey was conducted in July-August 2022, using the Yandex.Forms service. The survey questionnaire consisted of 24 questions. An invitation to participate was sent to 1,105 Russian healthcare employees registered in the online community...
Materials and methods. An online survey was conducted in July-August 2022, using the Yandex.Forms service. The survey questionnaire consisted of 24 questions. An invitation to participate was sent to 1,105 Russian healthcare employees registered in the online community...
MD&IT №4 2022
Introduction. Cardiovascular diseases remain the leading cause of death globally due to the global trend of aging. Mobile medicine — mHealth — is gaining more popularity each year. In this paper, we consider the effectiveness of mHealth in the prevention of cardiovascular events.
Materials and methods. The study was performed in accordance with PRISMA checklist. Original studies published in 2018-2022 were considered for inclusion in systematic review. Еlibrary, PubMed, Scopus, Google Scholar и...
Materials and methods. The study was performed in accordance with PRISMA checklist. Original studies published in 2018-2022 were considered for inclusion in systematic review. Еlibrary, PubMed, Scopus, Google Scholar и...
MD&IT №4 2022
The paper covers international experience in regulating the use of medical data for the development of artificial intelligence systems (AI) using machine learning methods. High-quality medical data sets are required for successful implementation of AI in medical practice and for higher efficiency of clinical and managerial decision-making. Such data sets are impossible to acquire, store and use without appropriate legal and regulatory framework that takes into account the interests of all participants...
MD&IT №3 2022
There is a trend in the healthcare of the Russian Federation for the development and implementation of various information systems, including medical information systems of medical organizations (MIS MO), aimed automation of diagnostic, treatment, administrative, auxiliary and other processes, as well as radiological information systems (RIS), designed to automate the service of radiation diagnostics and radiology. Many of the currently utilized MIS were developed 10 and more years ago, are base...
MD&IT №1 2022
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...
MD&IT №4 2020
Recently, a new coronavirus infection, or COVID 19, caused by the pathogen SARS-CoV 2, has been continuing to spread around the world rapidly. According to the World Health Organization (WHO), which declared this outbreak a pandemic, COVID 19 is a serious public health problem of international concern. Due to the lack of proven effective treatment and vaccination against COVID 19, precautions are considered by WHO to be strategic goals and a primary response to the pandemic. It is recomm...