Artificial intelligence in the Healthcare of Russia. Laboratory Role

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Gusev A.V.

Russian Research Institute of Health;
Research Practical Clinical Center for Diagnostics and Telemedicine Technologies

SPIN RSCI: 168742
Scopus AuthorID: 57222273391
ResearcherID: AAD-2073-2019
ORCID: 0000-0002-7380-8460

Evgina S.A.

Federation of Laboratory Medicine

ORCID: 0000-0002-4945-7269

Godkov M.A.

Sklifosovsky Research Institute for Emergency Care

ORCID: 0000-0002-0854-8076

Artificial intelligence in the Healthcare of Russia. Laboratory Role

Authors:

Gusev A.V., Evgina S.A., Godkov M.A.

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Journal: Laboratory Service. 2022;11(2): 5‑8

DOI: 10.17116/labs2022110215

Views: 1100

Downloaded: 63

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To cite this article:

Gusev AV, Evgina SA, Godkov MA. Artificial intelligence in the Healthcare of Russia. Laboratory Role. Laboratory Service. 2022;11(2):5‑8. (In Russ.)
https://doi.org/10.17116/labs2022110215

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Issue #2 2022 of Laboratory Service continues the tradition of thematic issues. It includes publications about Russian experience and perspectives on the use of artificial intelligence (AI) technologies, especially machine learning, in laboratory medicine. The idea for the issue was born after the profile sections that took place in October 2021 within the framework of the Russian Diagnostic Summit. Thus, 75% of the section attendees represented the laboratory community.

Authors:

Gusev A.V.

Russian Research Institute of Health;
Research Practical Clinical Center for Diagnostics and Telemedicine Technologies

SPIN RSCI: 168742
Scopus AuthorID: 57222273391
ResearcherID: AAD-2073-2019
ORCID: 0000-0002-7380-8460

Evgina S.A.

Federation of Laboratory Medicine

ORCID: 0000-0002-4945-7269

Godkov M.A.

Sklifosovsky Research Institute for Emergency Care

ORCID: 0000-0002-0854-8076

List of references:

Presidential Decree № 490 of 10.10.19 «On the development of artificial intelligence in the Russian Federation» and the adoption of the «National Strategy for the Development of Artificial Intelligence for the period up to 2030». (In Russ.). https://publication.pravo.gov.ru/Document/View/0001201910110003
Presidential Decree № 204 «On the national goals and strategic objectives of the development of the Russian Federation for the period until 2024» dated 07.05.18. (In Russ.). https://publication.pravo.gov.ru/Document/View/0001201805070038
Implementation of the National Strategy for Artificial Intelligence in Health Care. (In Russ.). https://webiomed.ai/blog/realizatsiia-natsionalnoi-strategii-iskusstvennogo-intellekta-v-sfere-zdravookhraneniia/
Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again by Eric Topol. New York: Basic Books; 2019. Hardcover.
Decree of the Government of the Russian Federation No. 2129-r of August 19, 20. (In Russ.). https://publication.pravo.gov.ru/Document/View/0001202008260005
Decision of the Board of the Eurasian Economic Commission of 22.12.15 No. 174 «On Approving the Rules for Monitoring the Safety, Quality and Effectiveness of Medical Devices. (In Russ.). https://docs.eaeunion.org/docs/ru-ru/0149291/clcd_30122015_174
Order of October 19, 2020 № 1732 «On Amendments to the National Standardization Program for 2020, approved by Order of the Federal Agency for Technical Regulation and Metrology of November 1, 2019 № 2612». (In Russ.). https://docs.cntd.ru/document/566051442
Korsakov I, Gusev A, Kuznetsova T, Gavrilov D, Novitskiy R. Deep and machine learning models to improve risk prediction of cardiovascular disease using data extraction from electronic health records. European Heart Journal. 2019;40(suppl 1):ehz748.0670. https://doi.org/10.1093/eurheartj/ehz748.0670
Korsakov I, Gavrilov D, Serova L, Gusev A, Novitskiy R, Kuznetsova T. Adapting neural network models to predict 10-year CVD development based on regional data calibration. European Heart Journal. 2020;41(suppl 2):ehaa946.3557. https://doi.org/10.1093/ehjci/ehaa946.3557

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