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Handbook of Artificial Intelligence in Healthcare pp 259–279Cite as

Development of Artificial Intelligence in Healthcare in Russia

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Part of the Intelligent Systems Reference Library book series (ISRL,volume 212)

Abstract

Research and development in the field of artificial intelligence in Russia has been conducted for several decades. Amid a global increase in attention to this area, the Russian Federation has also developed and systematically implemented its own national strategy, which includes healthcare as a priority sector for the introduction of AI products. Government agencies in collaboration with the expert community and market are developing several key areas at once, including legal and technical regulation. Based on the IMDRF recommendations, software products created using AI technologies for application in the diagnostic and treatment process are considered in Russia as the Software as Medical Devices (SaMD). Over the last year, the Government of the Russian Federation, the Ministry of Health and Roszdravnadzor made many targeted changes to the current legislation to enable a state registration of software products based on AI technologies and their introduction to the market. More than 20 regions of the Russian Federation have launched various projects to implement AI technologies in the real clinical practice. Work is underway to create the first series of national technical standards to accelerate products’ development and create more trust from healthcare practitioners.

Keywords

  • Artificial intelligence
  • Software as medical devices
  • Technical regulation
  • Legal regulation
  • Clinical practice

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Author information

Authors and Affiliations

  1. Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies, Moscow Health Care Department, Moscow, Russia

    A. Gusev, S. Morozov, A. Vladzymyrskyy, V. Zinchenko, D. Sharova, E. Akhmad, D. Shutov & R. Reshetnikov

  2. K-Skai, LLC, Petrozavodsk, Republic of Karelia, Russia

    A. Gusev

  3. I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia

    G. Lebedev & A. Vladzymyrskyy

  4. Federal Research Institute for Health Organization and Informatics, Moscow, Russia

    G. Lebedev

  5. Institute of Molecular Medicine, I.M. Sechenov First Moscow State Medical University, Moscow, Russia

    R. Reshetnikov

  6. National Research Center «Kurchatov Institute», Moscow, Russia

    K. Sergunova

  7. Non-Commercial Organization Foundation for Development of the Center Elaboration and Commercialization of New Technologies, the Skolkovo, Foundation, Moscow, Russia

    S. Izraylit & E. Meshkova

  8. National Telemedicine Agency, Research-and-Production Corporation, Moscow, Russia

    M. Natenzon

  9. Center for Big Data Storage and Analysis Technology, Center for Competence in Digital Economics, Moscow State University M.V. Lomonosov, Moscow, Russia

    M. Natenzon

  10. MGIMO University (Moscow State Institute of International Relations), Moscow, Russia

    A. Ignatev

Authors
  1. A. Gusev
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  2. S. Morozov
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  3. G. Lebedev
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  4. A. Vladzymyrskyy
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  5. V. Zinchenko
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  6. D. Sharova
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  7. E. Akhmad
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  8. D. Shutov
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  9. R. Reshetnikov
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  10. K. Sergunova
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  11. S. Izraylit
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  12. E. Meshkova
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  13. M. Natenzon
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  14. A. Ignatev
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Corresponding author

Correspondence to G. Lebedev .

Editor information

Editors and Affiliations

  1. Institute for Intelligent Systems Research and Innovation, Deakin University, Waurn Ponds, VIC, Australia

    Prof. Dr. Chee-Peng Lim

  2. College of Information Science and Engineering, Ritsumeikan University, Shiga, Japan

    Prof. Dr. Yen-Wei Chen

  3. Royal Adelaide Hospital, Adelaide, SA, Australia

    Dr. Ashlesha Vaidya

  4. Avanti Institute of Cardiology, Nagpur, India

    Dr. Charu Mahorkar

  5. KES International, Shoreham-by-Sea, UK

    Prof. Dr. Lakhmi C. Jain

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Gusev, A. et al. (2022). Development of Artificial Intelligence in Healthcare in Russia. In: Lim, CP., Chen, YW., Vaidya, A., Mahorkar, C., Jain, L.C. (eds) Handbook of Artificial Intelligence in Healthcare. Intelligent Systems Reference Library, vol 212. Springer, Cham. https://doi.org/10.1007/978-3-030-83620-7_11

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