Articles filtered by author Vladzymyrskyy A.V..
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MD&IT №4 2023
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...
MD&IT №4 2023
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...
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...
MD&IT №4 2023
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 ...
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 ...
MD&IT №1 2023
A fundamental increase in the effectiveness of measures aimed at overcoming the problem of chronic noncommunicable diseases (CNCDs) can only be achieved through the digital transformation of healthcare. An Integrative Digital Strategy to Combat NCDs has been developed, which not only solves the problems of developing the healthcare system, but also stimulates the development of the national economy in the field of high technologies in full accordance with the Ashgabat Declaration on the Preventi...
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 №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...