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Gusev A.V.

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

Evgina S.A.

Federation of Laboratory Medicine

Godkov M.A.

Sklifosovsky Research Institute for Emergency Care

Artificial intelligence in the Healthcare of Russia. Laboratory Role

Authors:

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

More about the authors

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

Read: 2020 times


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

References:

  1. 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
  2. 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
  3. 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/
  4. Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again by Eric Topol. New York: Basic Books; 2019. Hardcover.
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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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