MD&IT №4 2020
Currently, Internet resources are widely used in medical education, becoming one of the key tools of e-learning. We have developed a web application for congenital malformations and anomalies for medical students as an additional tool for self-learning. The web application contains two components: multimedia descriptions of congenital malformations, including images, animations, videos and interactive graphical tests; and the knowledge control module. It is important to evaluate effectiveness of...
MD&IT №4 2020
Backgroun d. In 2019, the Moscow Government decided to conduct a large-scale scientific research – the Experiment on the use of innovative computer vision technologies for medical image analysis and subsequent applicability in the healthcare system of Moscow (www.mosmed.ai). Objective – analyze engagement, attitudes and feedback from doctors-radiologists in frame of the Experiment. Materials and methods. The Experiment is a prospective research approved by the Independent Ethics Committe...
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...
MD&IT №4 2020
The regression models for prediction of contact holmium lithotripsy duration are given. Models are obtained on the basis of calculated and experimental data on duration of different stages of laser lithotripsy. They allow, based on the volume and radiological density of urinary stones and taking into account the anatomical characteristics of the patient, to calculate the expected time of complete fragmentation of the stones with a higher accuracy than on the factor of additional costs the known ...
MD&IT №4 2020
So far, the concept of image row or tuples in the development of intelligent systems has been discussed in relation to the role of phenotypic (external) manifestations of diseases in diagnostics. This study introduces the idea of neuroimaging tuples as a tool to make a prognosis of the course of chronic cerebral ischemia. The phenomenon of leukoaraiosis is analyzed as a radiological feature of chronic brain ischemia and a predictor of stroke. Image tuples are formed from the results of c...
MD&IT №4 2020
The course of the COVID 19 pandemic imposes a significant burden on healthcare systems, including on primary care, when it is necessary to correctly suspect and determine further management. The symptoms non-specificity and the manifestations versatility of the COVID 19 impose difficulties in identifying suspicions. To improve the definition of COVID 19 symptom checkers and medical decision support systems (MDSS) can potentially be useful. They can give recommendations for determining th...
MD&IT №4 2020
The article describes a conceptual approach to automating the algorithm for pre-hospital assessment of risk factors for non-communicable diseases in order to detect diseases early and monitor them later. The presented information system will allow calculating risk factors for non-communicable diseases, providing dynamic monitoring, and creating a unified register of pre-medical examinations. The information system is developed on the basis of a previously developed algorithm for pre-medical asse...
MD&IT №4 2020
Significant expansion of telemedicine technologies was made possible by the adoption of the necessary legal regulation and initiation of the national program “Healthcare”. National research centers were assigned a mission to provide advisory and methodological support to the regional hospitals. The manuscript describes the experience of the National Research Center for Hematology in application of telemedicine technologies in order to improve the quality of specialized medical care. Progressive ...
MD&IT №4 2020
The actual task of supplementing intelligent systems of evidence-based medicine with technically implemented mental models is set. Using these models, the user understands the results of digital models in Big Data systems. Clarified concepts related to this issue. The electronic components of neural networks for the implementation of mental models is defined. A variant of continuous logic of mental models is proposed. Functional expressions of convolutions of input signals of artificial neurons ...