Evolution of research and development in the field of artificial intelligence technologies for healthcare in the Russian Federation: results of 2021

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Abstract

The use of artificial intelligence technologies in Russian healthcare is a priority area for implementing a national strategy for the development of artificial intelligence in the country. The introduction of digital solutions based on artificial intelligence in healthcare facilities should improve the standard of living of the population and the quality of medical care, including areas of preventive examinations, diagnostics based on image analysis, prediction of disease development, selection of optimal drug dosages, reducing the threat of pandemics, and automating and increasing the accuracy of surgical interventions.

Policy management and technical regulation are under development in the field of artificial intelligence in healthcare. The domestic market for relevant solutions has been created, and some products have been certified as medical devices from Roszdravnadzor (Federal Service for Surveillance in Healthcare). Various teams of scientists are conducting research. However, Russia is still behind the leading countries in the field of artificial intelligence, such as the United States and China. Investments in healthcare products based on artificial intelligence decreased significantly in 2021. The major reasons for the lag, at least in terms of market indicators, are low demand and the inability of state medical organizations to fund artificial intelligence projects. There are also other issues related to trust in the safety and effectiveness of such solutions.

About the authors

Aleksander V. Gusev

K-Skai; Russian Research Institute of Health

Author for correspondence.
Email: agusev@webiomed.ai
ORCID iD: 0000-0002-7380-8460
SPIN-code: 9160-7024
Scopus Author ID: 57222273391
ResearcherId: AAD-2073-2019

Cand. Sci. (Tech)

Russian Federation, Петрозаводск; Москва

Anton V. Vladzymyrskyy

Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies

Email: a.vladzimirsky@npcmr.ru
ORCID iD: 0000-0002-2990-7736
SPIN-code: 3602-7120
Scopus Author ID: 8944262100
ResearcherId: D-1447-2017
Russian Federation, Moscow

Dariya E. Sharova

Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies

Email: d.sharova@npcmr.ru
ORCID iD: 0000-0001-5792-3912
SPIN-code: 1811-7595
Russian Federation, Moscow

Kirill M. Arzamasov

Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies

Email: k.arzamasov@npcmr.ru
ORCID iD: 0000-0001-7786-0349
SPIN-code: 3160-8062
Russian Federation, Moscow

Aleksander E. Khramov

Innopolis University; Immanuel Kant Baltic Federal University

Email: a.hramov@innopolis.ru
ORCID iD: 0000-0003-2787-2530
SPIN-code: 7357-7556
Scopus Author ID: 34834
Russian Federation, Kazan; Kaliningrad

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Supplementary files

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1. JATS XML
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2. Fig. 1. Dynamics of venture investment in artificial intelligence systems for medicine and healthcare, according to CB Insights, billion US dollars.

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3. Fig. 2. The number of indexed publications in the Scopus scientific information database that were published by Russian authors at the intersection of medicine and artificial intelligence over the past 10 years.

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4. Fig. 3. Dynamics of Russian investments in artificial intelligence systems for medicine and healthcare in 2015–2021 (authors' data), million rubles

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5. Fig. 4. Sources of Russian investment in artificial intelligence systems for medicine and healthcare (authors' data), million rubles

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6. Fig. 6. Revenue dynamics of Russian developers of artificial intelligence systems for medicine and healthcare in 2017–2020 (authors' data), million rubles

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7. Fig. 4. Sources of Russian investment in artificial intelligence systems for medicine and healthcare (authors’ data), million rubles.

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8. Fig. 5. Directions for investing in artificial intelligence systems for medicine and healthcare (authors’ data), million rubles.

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