2020
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 №3 2020
Data set of annotated histology images on breast pathology is provided, containing more than 40 thousand images from 104 microscopic slides and 92 patients and additional clinical data (age, TNM, grade, WHO type). The data set is prepared in compliance with relevant procedures for clinical research at Burnasyan Federal Medical Biophysical Center Of Federal Medical Biological Agency. The data set is accessible at GitHub for research and educational purposes.
MD&IT №2 2020
An overview of public policy measures aimed at the development of artificial intelligence (AI) technologies in the world and in Russia is presented. In order to evaluate the competitiveness of domestic developments created for the use of AI technologies in medicine and healthcare, a scientometric and patent analysis of the direction for the period 2010–2019 was performed. Based on the analysis of research fronts using the Essential science indicators methodology, the most promising resea...
MD&IT №1 2020
The article is a review of Russian and foreign scientific publications related to the use of methods of analysis and forecasting of time series in medicine. 112 major publications over the past 5 years, located on the Internet resources e-library and PubMed, are considered. Examples of the application of such methods as exponential smoothing, regression analysis, the ARIMA method and their variants for time series analysis are shown. Various approaches to mathematical modeling of the time series...