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

Annotation

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 sustainable 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.

About authors

Lyudmila E. Khaymina, Cand. Sci. (Ped.), Associate Professor
l.khaimina@narfu.ru, ORCID: https://orcid.org/0000-0003-4552-0440
Northern (Arctic) Federal University named after M.V. Lomonosov, Naberezhnaya Severnoy Dviny, 17, Arkhangelsk, Russia

Larisa I. Zelenina, Cand. Sci. (Tech.), Associate Professor
l.zelenina@narfu.ru, ORCID: https://orcid.org/0000-0002-0155-3139
Northern (Arctic) Federal University named after M.V. Lomonosov, Naberezhnaya Severnoy Dviny, 17, Arkhangelsk, Russia;
North-West Institute of Management of the Russian Presidential Academy of National Economy and Public Administration (NWIM RANEPA), Sredniy pr., V.O., 57/43, Saint Petersburg, Russia

Evgeniy S. Khaymin, Senior Lecturer
e.khaymin@narfu.ru, ORCID: https://orcid.org/0000-0003-0523-3623
Northern (Arctic) Federal University named after M.V. Lomonosov, Naberezhnaya Severnoy Dviny, 17, Arkhangelsk, Russia

Svetlana I. Fedkushova, Lecturer
sif-7@yandex.ru, ORCID: https://orcid.org/0009-0008-9545-5230
Arkhangelsk College of Commerce and Economics, pr. Obvodnyy kanal, 12, Arkhangelsk, Russia

Keywords

Arctic region, artificial intelligence, healthcare system, decision support system, neural network, machine learning algorithm, telemedicine

DOI

10.37482/issn2221-2698.2023.52.232

UDC

[004.89:61](470.1/.2)(045)