MD&IT №2 2022
The success and wide-range applications of artificial intelligence (AI) technologies and, in particular, deep learning neural networks methods have led us to a clear understanding of two main problems: the problem of errors (the reliability problem) and the problem of explicitly explaining the decisions made by AI (the explanability problem). These problems are closely related: unexplained AI errors can happen again and again. This is completely unacceptable from the pers...
MD&IT №2 2022
Auscultation is a classic method of examining patients with respiratory and cardiovascular pathologies. Auscultation is a subjective method, its diagnostic accuracy is highly dependent on the doctor’s experience. Electronic stethoscopes can increase the volume of audio recordings, eliminate noise, and store and transmit sound to a computer or smartphone. Wavelet transform, Butterworth filter, low and high pass filters are used to filter the resulting audio recordings. Machine learning methods, w...
MD&IT №2 2022
Background. Long-term outcomes of screening programs are challenging to evaluate in randomized clinical trials. The role of predictive modeling is becoming increasingly popular in oncology. Modeling the interventions consequences in oncology is based, among other things, on the use of toolkits, denoted by the term «mathematical oncology» Aim. To study approaches to modeling screening scenarios for breast cancer, aimed at developing tools to support medical decision-making in the healthcare syste...
MD&IT №2 2022
Currently, there are no unified methodological approaches to diagnose certain diseases, syndromes, symptoms, where distant diagnostics and telemedicine-based treatment prescription are legal and feasible. There are limited and empirically generated lists of pathological conditions, accounting for possible risks. The development of regulatory and legal support for telemedicine-based medical care should be based on a scientific approach, providing for safety and quality assurance. Objective: to de...
MD&IT №2 2022
Background. Considering the growing interest of researchers and clinical specialists in algorithms for processing medical data, the prospects for the applied application of such approaches have significantly increased, primarily, involving the use of deep neural networks in the tasks of detecting pathological areas. However, the use of such approaches is associated with a low level of localization accuracy, insufficient to translate the developments into the field of assistive systems for making...
MD&IT №2 2022
The article proposes technique and results for pre-project research and design of automated information systems in relation to business process management systems of medical organizations on the example of monitoring the implementation of regulations at the departments of nephrology and hemodialysis. When developing the system, an original method of system analysis and modeling of business processes was used based on the experience of the divisions of a private network medical company working in...
MD&IT №2 2022
The article considers the provisions of the draft convention on improving supranational legal regulation in the Eurasian Economic Union (EEU) in the field of healthcare in the context of the development of innovative digital technologies. Specific proposals on the content of the project’s draft were formed, as well as individual proposals were identified on separate convention sections.