Articles filtered by author Karpov O.E..
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MD&IT № 3 2024
Introduction. The introduction of artificial intelligence (AI) technologies in Russian healthcare is an important step to improve the efficiency and quality of medical care. The development of AI technologies helps automate data processing, support physician decision-making and improve predictive analytics.
Aim. Analysis of the results of creation and implementation of software solutions using AI technologies in Russian healthcare.
Materials and Methods: A systematic search for data in the State...
Aim. Analysis of the results of creation and implementation of software solutions using AI technologies in Russian healthcare.
Materials and Methods: A systematic search for data in the State...
MD&IT № 3 2024
Objective. The study is devoted to modern forms of case method implementation as a key tool in the development of clinical thinking of doctors. The main factors complicating the creation of situational tasks and limiting the large-scale application of this method in medical education are identified.
Materials and methods. The concept of using large language models (LLM) to reduce the complexity and labor intensity of developing situational tasks in medical education is proposed.
Results. A prototype...
Materials and methods. The concept of using large language models (LLM) to reduce the complexity and labor intensity of developing situational tasks in medical education is proposed.
Results. A prototype...
MD&IT №1 2023
The article describes the landscape of innovations in the field of medicine in general and start-ups of digital solutions in particular, presents the experience of the Pirogov National Medical and Surgical Center in organization and performing of acceleration program for medical start-ups, proposals are formulated for creating effective translating mechanisms of innovative technologies and products into clinical practice.
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 №3 2021
In this article, we provide a brief overview of precision and predictive medicine, which use modern medical diagnostics, molecular medicine approaches, and information technology. This includes artificial intelligence and machine learning to analyse medical data in order to improve the diagnosis, prognosis, and treatment of diseases. The development of effective predictive medicine is changing the traditional medical approach to diseases and patients from the reactive paradigm of response to dis...
MD&IT №2 2021
Electrocardiography (ECG) is one of the most common types of instrumental diagnostics, so the creation of specialized cardiographic information systems is an important step towards a fully digital clinic. The article presents the results of conducted research in the «National Medical and Surgical Center named after N.I. Pirogov» investigation to study the readiness of ECG equipment and software suppliers to be included in the complex information and technological landscape of a large mul...
MD&IT №1 2021
Electrocardiography (ECG) is one of the most common types of instrumental diagnostics, so the creation of specialized cardiographic information systems is an important step towards a digital clinic. The article presents the results of the study conducted at “N.I. Pirogov National Medical and Surgical Center” on the commitment of ECG equipment and software suppliers to be included in the complex information and technological landscape of a large multidisciplinary clinic. The article begin...