Artificial Intelligence in the Healthcare System of the Arctic Regions of the Russian Federation

Currently, in the Russian Federation, much attention is paid to the introduction of artificial intelligence technologies into the healthcare system in order to improve the quality of medical care provided. The AI methods support the medical decision-making; it becomes possible to obtain a second opi...

Full description

Bibliographic Details
Published in:Arctic and North
Main Authors: Lyudmila E. Khaymina, Larisa I. Zelenina, Evgeniy S. Khaymin, Svetlana I. Fedkushova
Format: Article in Journal/Newspaper
Language:English
Russian
Published: Northern Arctic Federal University 2023
Subjects:
H
Online Access:https://doi.org/10.37482/issn2221-2698.2023.52.232
https://doaj.org/article/29ef807781064c1986fd7cc6130bf7b2
id ftdoajarticles:oai:doaj.org/article:29ef807781064c1986fd7cc6130bf7b2
record_format openpolar
spelling ftdoajarticles:oai:doaj.org/article:29ef807781064c1986fd7cc6130bf7b2 2023-12-03T10:16:14+01:00 Artificial Intelligence in the Healthcare System of the Arctic Regions of the Russian Federation Lyudmila E. Khaymina Larisa I. Zelenina Evgeniy S. Khaymin Svetlana I. Fedkushova 2023-09-01T00:00:00Z https://doi.org/10.37482/issn2221-2698.2023.52.232 https://doaj.org/article/29ef807781064c1986fd7cc6130bf7b2 EN RU eng rus Northern Arctic Federal University http://arcticandnorth.ru/article_index_years_eng.php?ELEMENT_ID=384584 https://doaj.org/toc/2221-2698 doi:10.37482/issn2221-2698.2023.52.232 2221-2698 https://doaj.org/article/29ef807781064c1986fd7cc6130bf7b2 Арктика и Север, Vol 52, Iss 52, Pp 96-205 (2023) arctic region artificial intelligence healthcare system decision support system neural network machine learning algorithm telemedicine Social Sciences H article 2023 ftdoajarticles https://doi.org/10.37482/issn2221-2698.2023.52.232 2023-11-05T01:38:27Z Currently, in the Russian Federation, much attention is paid to the introduction of artificial intelligence technologies into the healthcare system in order to improve the quality of medical care provided. The AI methods support the medical decision-making; it becomes possible to obtain a second opinion for a doctor when determining a diagnosis, which leads to a reduced risk of determining erroneous diagnoses (including missed pathologies). The development of high-tech medical care is a particularly relevant issue for medical institutions in the Arctic regions, which are geographically distributed and remote territories with hard natural and climatic conditions. The solution of this issue is designed to ensure natural sustaina-ble population growth in these regions and increase the life expectancy of the population of the Russian Arctic, including the indigenous peoples of the North. The article considers the positive experience of cooperation between Russian research centers, medical companies and higher educational institutions in the development and implementation of medical software products based on technologies and methods of artificial intelligence on the example of such Arctic territories of Russia as the Yamalo-Nenets Autonomous Okrug, the Republic of Sakha (Yakutia), the Murmansk Oblast, the Republic of Karelia and the Arkhangelsk Oblast. Article in Journal/Newspaper Arctic Arkhangelsk karelia* Murmansk Oblast nenets Nenets Autonomous Okrug Republic of Karelia Republic of Sakha Yakutia Yamalo Nenets Yamalo-Nenets Autonomous Okrug Arkhangelsk Oblast Directory of Open Access Journals: DOAJ Articles Arctic Murmansk Sakha Arctic and North 52 232 245
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
Russian
topic arctic region
artificial intelligence
healthcare system
decision support system
neural network
machine learning algorithm
telemedicine
Social Sciences
H
spellingShingle arctic region
artificial intelligence
healthcare system
decision support system
neural network
machine learning algorithm
telemedicine
Social Sciences
H
Lyudmila E. Khaymina
Larisa I. Zelenina
Evgeniy S. Khaymin
Svetlana I. Fedkushova
Artificial Intelligence in the Healthcare System of the Arctic Regions of the Russian Federation
topic_facet arctic region
artificial intelligence
healthcare system
decision support system
neural network
machine learning algorithm
telemedicine
Social Sciences
H
description Currently, in the Russian Federation, much attention is paid to the introduction of artificial intelligence technologies into the healthcare system in order to improve the quality of medical care provided. The AI methods support the medical decision-making; it becomes possible to obtain a second opinion for a doctor when determining a diagnosis, which leads to a reduced risk of determining erroneous diagnoses (including missed pathologies). The development of high-tech medical care is a particularly relevant issue for medical institutions in the Arctic regions, which are geographically distributed and remote territories with hard natural and climatic conditions. The solution of this issue is designed to ensure natural sustaina-ble population growth in these regions and increase the life expectancy of the population of the Russian Arctic, including the indigenous peoples of the North. The article considers the positive experience of cooperation between Russian research centers, medical companies and higher educational institutions in the development and implementation of medical software products based on technologies and methods of artificial intelligence on the example of such Arctic territories of Russia as the Yamalo-Nenets Autonomous Okrug, the Republic of Sakha (Yakutia), the Murmansk Oblast, the Republic of Karelia and the Arkhangelsk Oblast.
format Article in Journal/Newspaper
author Lyudmila E. Khaymina
Larisa I. Zelenina
Evgeniy S. Khaymin
Svetlana I. Fedkushova
author_facet Lyudmila E. Khaymina
Larisa I. Zelenina
Evgeniy S. Khaymin
Svetlana I. Fedkushova
author_sort Lyudmila E. Khaymina
title Artificial Intelligence in the Healthcare System of the Arctic Regions of the Russian Federation
title_short Artificial Intelligence in the Healthcare System of the Arctic Regions of the Russian Federation
title_full Artificial Intelligence in the Healthcare System of the Arctic Regions of the Russian Federation
title_fullStr Artificial Intelligence in the Healthcare System of the Arctic Regions of the Russian Federation
title_full_unstemmed Artificial Intelligence in the Healthcare System of the Arctic Regions of the Russian Federation
title_sort artificial intelligence in the healthcare system of the arctic regions of the russian federation
publisher Northern Arctic Federal University
publishDate 2023
url https://doi.org/10.37482/issn2221-2698.2023.52.232
https://doaj.org/article/29ef807781064c1986fd7cc6130bf7b2
geographic Arctic
Murmansk
Sakha
geographic_facet Arctic
Murmansk
Sakha
genre Arctic
Arkhangelsk
karelia*
Murmansk Oblast
nenets
Nenets Autonomous Okrug
Republic of Karelia
Republic of Sakha
Yakutia
Yamalo Nenets
Yamalo-Nenets Autonomous Okrug
Arkhangelsk Oblast
genre_facet Arctic
Arkhangelsk
karelia*
Murmansk Oblast
nenets
Nenets Autonomous Okrug
Republic of Karelia
Republic of Sakha
Yakutia
Yamalo Nenets
Yamalo-Nenets Autonomous Okrug
Arkhangelsk Oblast
op_source Арктика и Север, Vol 52, Iss 52, Pp 96-205 (2023)
op_relation http://arcticandnorth.ru/article_index_years_eng.php?ELEMENT_ID=384584
https://doaj.org/toc/2221-2698
doi:10.37482/issn2221-2698.2023.52.232
2221-2698
https://doaj.org/article/29ef807781064c1986fd7cc6130bf7b2
op_doi https://doi.org/10.37482/issn2221-2698.2023.52.232
container_title Arctic and North
container_issue 52
container_start_page 232
op_container_end_page 245
_version_ 1784263129954254848