Articles

Cartographic presentation of information is especially in demand and visual for covering global and regional events, as well as assessing the location of stationary and non-stationary objects in the study area. Geoinformation systems (GIS) in epidemiological surveillance of parasitic diseases provide collection, storage, processing, access to information, display and dissemination of spatially coordinated data that can be used to solve scientific and applied problems: analysis, monitoring, assessment,...

The application of machine learning in healthcare, as one of the more general artificial intelligence technology, has shown enormous potential for improving diagnostic and treatment outcomes for various conditions. However, success of AI-based software largely depends on the availability of high-quality medical datasets and the infrastructure built to streamline its management. Creating relevant, representative and accurately labeled datasets is a complex and expensive task that requires diverse...

The Unified national medical nomenclature (UNMN) has been under development since 2022 with using the Unified Medical Language System (UMLS) Metathesaurus and other sources. UNMN is a terminological system based on ontological approach and potentially applicable in Russian language medical text annotating. Currently, terms from different clinical branches are being added to UNMN utilizing both automatized and expert ways. Often in medicine abbreviations allow expressing the meaning of the concepts...

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...

Aim. To demonstrate the special aspects of dataset creation for neuroimaging using the example of preparing a dataset with computed tomographic images of the brain with and without signs of intracranial hemorrhage.
Methods. The creation of the dataset is based on the methodology developed by the Scientific and Practical Clinical Center for Diagnostics and Telemedicine (regulations for preparing the dataset), which is carried out in 4 stages: planning (selection of the necessary keywords for the...

Aim: To evaluate the experience of using software based on artificial intelligence technologies as part of the Moscow experiment on the use of innovative technologies in the field of computer vision for the analysis of medical images.
Material and methods: A retrospective study was conducted. The work includes the conclusion outputs of 3 AI services on 822 thousand fluorographic studies for the period from 05.01.2022 to 29.12.2022. Pathology was present in 28,341 studies (3.4%). The assessment ...

Aim. To study the possibilities of self-remote monitoring of blood pressure and heart rate in high-risk pregnant women.
Material and methods. Women from 18 to 45 years old with hypertension (chronic and gestational), a history of preeclampsia, a high level of preeclampsia risk (above 1:100), body mass index (BMI) > 30 kg/m2 were included in the study to test self-monitoring of blood pressure using the MedSenger platform. The patients used a home tonometer to measure blood pressure and heart rate...

Background: Due to the National Strategy for the Development of Artificial Intelligence, large-scale digitalization of healthcare is taking place in the Russian Federation, which leads to huge number of various practical and scientific tasks emergence of, which in turn require convenient tools to solve them. ROC analysis tool is one of them, which was developed and successfully applied within the framework of the project «Experiment on the use of innovative technologies in the field of computer ...

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...

Background. Early axial spondyloarthritis (axSpA) diagnostics is a difficult task requiring clinical decision support (CDS) making. Currently, there is a big unstructured data applicable in CDS systems development. Semantic data analysis is a complex issue to solve, and unified tools for named entity recognition are required. The biggest data source for biomedical text annotation is the Unified Medical Language System (UMLS) Metathesaurus. It includes more than 11 million atomic terms for writing...

Aim: Comparative assessment of the quality of predictive models of in-hospital mortality (IHM) in patients with ST-segment elevation myocardial infarction (STEMI) after percutaneous coronary artery intervention (PCI), developed on the basis of predictors in continuous, dichotomous and multilevel categorical forms.
Materials and methods: This was a single-center retrospective study analyzing data from 4677 medical records of patients with STEMI PCI who were treated at the Regional Vascular Center...

The article covers methods and procedures for developing a neural network decision support system when choosing the tactics of surgical intervention on coronary heart vessels. The system is designed to advise a wide range of practicing cardiologists and cardiac surgeons when deciding on the tactics of surgical intervention in patients with conditions associated with compromised coronary vessels. Based on a mathematical model taking into account a number of factors and the outcomes of previously ...

This article discusses the experience of using data visualization tools in the preparation of territorial planning schemes for regional health systems. The article also covers trends in the development of visualization tools and the competencies necessary for decision makers to use these tools effectively in making managerial decisions.

One of the key tasks of healthcare is to preserve the health of the child population, which is achieved through comprehensive health assessment. Timely identification of negative changes in children health during periodic medical examinations is of great importance. This justifies the development of more accurate methods to extract useful information from the data obtained during a comprehensive examination of children.
Aim: to improve the procedure for preventive examinations of school-age children...

The article contains systematized and summarized data on the possible uses of metaverse technologies in practical healthcare in order to assess the prospects of their widespread use. We searched PubMed and ScienceDirect for publications. The search resulted in 35 relevant articles published during 2021–2022 period.
Metaverses could be used both to create realistic immersive patient interactions and to improve diagnosis, treatment, and rehabilitation processes. The use of metaverses certainly has...

Background. Presently, in diagnostic radiology, it is possible to use clinical decision support systems (CDSS) based on artificial intelligence technologies. These systems are integrated into medical information systems and/or federal health care information systems of the Russian Federation. The availability of a quality control system for diagnostic radiology enables impact evaluation of AI-based CDSS in the medical care. Moreover, the challenge of defect prevention in radiology with such CDSS...

Background. The revolutionary leap in Internet accessibility and the introduction of information technologies in all spheres of modern society have become significant reasons for the growing popularity of web applications providing personalized health information.
Aim. To conduct a comparative analysis of the online means of checking symptoms present in the Russian-speaking segment of the Internet.
Research methods. To achieve this goal on the basis of the information submitted in the review of...

Background. The current level of digitalization of society determines the feasibility of developing effective web tools designed to expand the contingent of people who are motivated and ready to provide first aid. The purpose of the study is to develop a conceptual model of a multifunctional first aid web service based on an analysis of open web resources on first aid.
Materials and methods. In November-December 2022, 30 English-language and 30 Russian-language web resources on first aid were selected...

Successful efforts made to reduce incidence of tuberculosis have not translated into improved cure rates which remain low. This is largely due to long time for diagnosis, formation of drug resistance of Mycobacterium tuberculosis during treatment, a large set of anti-TB drugs and adverse events during their use. Therapy regimens change and replace each other rapidly, clinical guidelines update more and more often.
This along with growing number of comorbidities of a patient, requiring multicomponent...

Aim: study of patients with atrial fibrillation (AF) needs in terms of therapy monitoring using a mobile application (MА) and the development of the required functions of the MА.
Materials and methods: 96 patients, 18 years of age and older (mean age 57,3±11,9) with a diagnosis of AF receiving anticoagulant therapy were included. We developed a questionnaire to assess the needs of patients with AF in terms of the use of MA, which included questions regarding the readiness of patients to use the...