Articles

Background. Diagnosis of early-stage chronic kidney disease (CKD) is a global challenge, as late-stage disease is more commonly diagnosed. The development of modeling methods for making management decisions aimed at improving the efficiency of early diagnosis of CKD is an important scientific and practical task, which can be greatly supported by the use of machine learning algorithms (MLA).
Aim. To improve the accuracy of diagnosis of CKD using data from history, clinical-instrumental, genetic ...

Currently, mathematical analysis and three-dimensional modeling represent a new promising way to obtain additional information, which allows the researcher to virtually observe and model complex biomechanical phenomena. Issues of dynamic neck anatomy, as well as the biomechanical characteristics of its individual structures, are of significant practical and theoretical interest regarding many areas of medicine.
Aim: to develop a virtual dynamic model of the human neck and in order to reproduce ...

Background. Telemedicine is an important tool for ensuring the availability of medical care, contributing to the reduction of morbidity and mortality, primarily from chronic diseases. It is necessary to introduce organizational models into clinical practice for the development of telemedicine in our country.
Aim. To form new approaches for monitoring patients using telemedicine technologies in a federal institution.
Material and methods. The work on conducting telemedicine consultations (TMC) ...

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 ...