Articles filtered by author Morozov S.P..
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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 №1 2022
In this study we evaluated operability of a multicomponent system consisting of ECG recorders (made by different manufacturers), signal conversion drivers (matching layers) provided by ECG equipment vendors according to a single technical task, an ECG signal processing and visualization program. Such system registers and processes ECG signal by means of the software unit integrated into the regional medical information system (RMIS). System performance evaluation was carr...
MD&IT №4 2021
The paper provides a detailed description of the process of forming and processing the ECG database, and provides links to the regulatory legal acts necessary for its creation. The principles of the formation and work of the expert group are defined, and the technology of processing an array of raw data is proposed. Two-level modelling was used to process 220 ECGs which were included into the database. A reduced thesaurus was used to create reference annotations, allowing someone to compare resu...
MD&IT №3 2021
The dynamic development of diagnostic radiology requires updating its approaches to resource management, as well as revising outdated time standards. The purpose of the study is to determine a turnaround time for reporting results of radiological examinations in primary health care for the formation of time standards. Material and Methods. The analytical (elementwise) method of labour rationing was used. The research included image interpretation and writing CT scan reports, image interp...
MD&IT №2 2021
Artificial intelligence (AI) technologies are considered to be one of the most promising areas of development in various fields of human activity. AI-based systems are used not only in scientific research, but are also actively used in practice. However, the practical implementation of AI technologies has revealed a number of problems associated with the imperfection of the current legislative framework. For this purpose, in July 2019, by order of The Federal Agency for Technical Regulat...
MD&IT №1 2021
Objective. To systematize data on the clinical applications of tele-ultrasound. Material and methods. Data was collected using PubMed (including MEDLINE), Embase, Google Scholar, CYBERLENINKA, and eLIBRARY. There were 1,036 articles which were subjected to text analysis using the Rayyan QCRI software package. Overall, the review included 74 articles related to the clinical applications of tele-ultrasound. The main points were summarized for these modalities. Results. The history of the c...
MD&IT №6 2020
Speech recognition technology was tested to prepare protocols for radiological examinations. A method to evaluate the efficiency of speech recognition technology implementation for the preparation of radiological examination protocols has been developed. A time-study was conducted to confirm the effectiveness of voice input. The commitment of radiologist to using innovative technologies in their work practices was evaluated.
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 №2 2020
There is a global increase in demand for direct-to-patient telemedicine consultations due to COVID 19 pandemic. We made a quality assessment of the patient-initiated consultations in case of acute respiratory viral infection symptoms (COVID 19). There are 20 teleconsultations of 2 simulated patients in 10 the most popular telehealth services. An incomplete history of the disease was recorded in 50.0% of cases, incomplete allergy anamnesis – in 60.0%, and epidemiology anamnesis – ...
MD&IT №1 2020
The adoption of a number of special regulatory documents has significantly expanded the possibilities of using telemedicine technologies in the Russian Federation. A significant number of services have appeared on the market, offering direct-to-consumer and patient initiated telemedicine consultations. The explosive growth in the number of such services requires a careful study of the telemedicine interaction quality. The research objective is to assess the quality of remote interaction of parti...