Aerial technogenic pollution from the activity of ferrous and non-ferrous metallurgy resulting in degradation of vulnerable natural ecosystems is a principal environmental problem in Russian Arctic. The industrial barren in the vicinity of Monchegors...
Hepatitis C virus infection is a significant global health concern, affecting millions worldwide. Although direct-acting antivirals achieve over 90% success rate, treatment failures still occur, particularly when pan-genotypic DAAs are unavailable, a...
Studies in health technology and informatics
Aug 22, 2024
This article presents our experience in development an ontological model can be used in clinical decision support systems (CDSS) creating. We have used the largest international biomedical terminological metathesaurus the Unified Medical Language Sys...
Problemy sotsial'noi gigieny, zdravookhraneniia i istorii meditsiny
Jun 1, 2024
Today, the topic of digitalization, the introduction of innovations based on Big Data, the complexity of technologies due to the introduction of artificial intelligence in medicine and healthcare is one of the most relevant in this industry, undoubte...
Studies in health technology and informatics
May 23, 2024
This study focuses on the complex interplay of healthcare, economic factors, and population dynamics, addressing a research gap in regional-level models that integrate diverse features within a temporal framework. Our primary objective is to develop ...
OBJECTIVE: The aim of the study is to identify the prospects and possibilities of using artificial intelligence (AI) and domestic software in the provision of organization dental care in the Russian Federation.
BACKGROUND: Diabetic retinopathy is the most common complication of diabetes mellitus and is one of the leading causes of vision impairment globally, which is also relevant for the Russian Federation.
Studies in health technology and informatics
Jan 14, 2022
Patients, relatives, doctors, and healthcare providers anticipate the evidence-based length of stay (LOS) prediction in neurosurgery. This study aimed to assess the quality of LOS prediction with the GPT3 language model upon the narrative medical rec...
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