On the issue of ethical aspects of the artificial intelligence systems implementation in healthcare

Мұқаба

Дәйексөз келтіру

Толық мәтін

Аннотация

The article analyzes ethical issues inherent to different life-cycle stages of artificial intelligence systems and provides up-to-date information about global and domestic trends in this area. The international and national experience concerning ethical issues of artificial intelligence systems use in healthcare is described. In addition, the international and national strategies for the development of artificial intelligence in healthcare are analyzed focusing on the national development; and the main trends, similarities, and differences between strategies are identified. Furthermore, ethical components of the process of clinical trials to evaluate the safety and efficacy of artificial intelligence systems in Russia are described. Domestic state-of-the-art and globally unique experience in technical regulation of artificial intelligence systems are shown on unification papers and standardization of requirements for the development, testing, and operation of artificial intelligence systems in healthcare are presented, and unparalleled Russian experience in terms of certification requirements for artificial intelligence-based medical devices is demonstrated.

The article also summarizes the main conclusions and emphasizes the importance of a strong successful healthcare system based on artificial intelligence technologies that build trust and compliance with ethical standards.

Толық мәтін

##article.viewOnOriginalSite##

Авторлар туралы

Daria Sharova

Moscow Center for Diagnostics and Telemedicine

Email: d.sharova@npcmr.ru
ORCID iD: 0000-0001-5792-3912
SPIN-код: 1811-7595
Ресей, 28-1 Srednyaya Kalitnikovskaya str.,109029 Moscow

Viktoria Zinchenko

Moscow Center for Diagnostics and Telemedicine

Email: v.Zinchenko@npcmr.ru
ORCID iD: 0000-0002-2307-725X
SPIN-код: 4188-0635
Ресей, 28-1 Srednyaya Kalitnikovskaya str.,109029 Moscow

Ekaterina Akhmad

Moscow Center for Diagnostics and Telemedicine

Email: e.Akhmad@npcmr.ru
ORCID iD: 0000-0002-8235-9361
SPIN-код: 5891-4384
Ресей, 28-1 Srednyaya Kalitnikovskaya str.,109029 Moscow

Olesia Mokienko

Moscow Center for Diagnostics and Telemedicine

Email: o.Mokienko@npcmr.ru
ORCID iD: 0000-0002-7826-5135
SPIN-код: 8088-9921

MD, Dr. Sci. (Med.)

Ресей, 28-1 Srednyaya Kalitnikovskaya str.,109029 Moscow

Anton Vladzymyrskyy

Moscow Center for Diagnostics and Telemedicine

Email: a.Vladzymyrskyy@npcmr.ru
ORCID iD: 0000-0002-2990-7736
SPIN-код: 3602-7120

MD, Dr. Sci. (Med.)

Ресей, 28-1 Srednyaya Kalitnikovskaya str.,109029 Moscow

Sergey Morozov

Moscow Center for Diagnostics and Telemedicine

Хат алмасуға жауапты Автор.
Email: Morozov@npcmr.ru
ORCID iD: 0000-0001-6545-6170
SPIN-код: 8542-1720

MD, Dr. Sci. (Med.), Professor

Ресей, 28-1 Srednyaya Kalitnikovskaya str.,109029 Moscow

Әдебиет тізімі

  1. Тop 10 principles for ethical artificial intelligence [Electronic resource]. UNI Global Union; 2017. 10 р. Available from: http://www.thefutureworldofwork.org/media/35420/uni_ethical_ai.pdf. Accessed: 11.07.2021.
  2. World Medical Association, Inc. WMA Declaration of Helsinki — Ethical Principles for Medical Research Involving Human Subjects [Electronic resource]. Available from: https://web.archive.org/web/20140101202246/http://www.wma.net/en/30publications/10policies/b3/. Accessed: 11.07.2021.
  3. Gerke S, Minssen T, Cohen G. Ethical and legal challenges of artificial intelligence-driven healthcare. In: Artificial Intelligence in Healthcare. 2020. P. 295–336. doi: 10.1016/B978-0-12-818438-7.00012-5
  4. The state of the industry in Russia and the world. Strategy of Russia. In: Almanac "Artificial Intelligence": a collection of analytical materials on the field of artificial intelligence in Russia and the world. NTI Competence Center in the direction of "Artificial Intelligence" on the basis of Moscow Institute of Physics and Technology. 2019;1:7–136. (In Russ).
  5. Pavlov NA, Andreichenko AE, Vladzimirsky AV, et al. Reference medical datasets (MosMedData) for independent external evaluation of algorithms based on artificial intelligence in diagnostics. Digital Diagnostics. 2021;2(1):49–66. (In Russ).
  6. Jaremko JL, Azar M, Bromwich R, et al. Canadian association of radiologists white paper on ethical and legal issues related to artificial intelligence in radiology. Can Assoc Radiol J. 2019;70(2):107–118. doi: 10.1016/j.carj.2019.03.001
  7. Morozov SP, Vladzimirsky AV, Klyashtorny VG, et al. Clinical trials of software based on intelligent technologies (radiation diagnostics). The series "Best practices of radiation and instrumental diagnostics". Issue 57. Moscow; 2019. 51 p. (In Russ).
  8. FDA. Factors to consider regarding benefit-risk in medical device product availability, compliance, and enforcement decisions [Electronic resource]. Available from: https://www.fda.gov/ regulatory-information/search-fda-guidance-documents/factors-consider-regarding-benefit-risk-medical-device-product-availability-compliance-and. Accessed: 11.07.2021.
  9. WHO guidance. Ethics and governance of artificial intelligence for health. 2020 [Electronic resource]. Available from: https://www.who.int/publications/i/item/9789240029200. Accessed: 11.07.2021.
  10. Morozov SP, Zinchenko VV, Khoruzhaya AN, et al. Standardization of artificial intelligence in healthcare: Russia becomes the leader. Medical Doctor and Information Technology. 2021;(2):12–19. (In Russ). doi: 1025881/18110193_2021_2_12
  11. Liu X, Cruz Rivera S, Moher D, et al.; SPIRIT-AI and CONSORT-AI Working Group. Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension. Nat Med. 2020;26(9):1364–1374. doi: 10.1038/s41591-020-1034-x
  12. Select Committee on artificial intelligence: a report. In: The national artificial intelligence research and development strategic plan: 2019 update [Electronic resource]. 2019. Available from: https://www.nitrd.gov/pubs/National-AI-RD-Strategy-2019.pdf. Accessed: 11.07.2021.
  13. Konrad Adenauer Stiftung. Comparison of national strategies to promote artificial intelligence [Electronic resource]. Available from: https://www.kas.de/en/single-title/-/content/vergleich-nationaler-strategien-zur-forderung-von-kunstlicher-intellige-1. Accessed: 11.07.2021.
  14. Artificial Intelligence Technology Strategy (Reportof Strategic Council for AI Technology). Strategic Council for AI Technology; 2017 [Electronic resource]. Available from: https://pdf4pro.com/view/artificial-intelligence-technology-strategy-nedo-6dc4e.html. Accessed: 11.07.2021.
  15. National Research Foundation. AI Singapore [Electronic resource]. Available from: https://www.nrf.gov.sg/programmes/artificial-intelligence-r-d-programme. Accessed: 11.07.2021.
  16. The International Trade Administration (ITA). Korea ― Artificial Intelligence [Electronic resource]. Available from: https://www.privacyshield.gov/article?id=Korea-Artificial-Intelligence. Accessed: 11.07.2021.
  17. European Commission website. Shaping Europe’s digital future. Communication artificial intelligence for Europe [Electronic resource]. Available from: https://digital-strategy.ec.europa.eu/en/library/communication-artificial-intelligence-europe. Accessed: 11.07.2021.
  18. Current state and near-term priorities for ai-enabled diagnostic support software in health care [Electronic resource]. Duke-Margolis Center for Health Policy; 2019. Available from: https://healthpolicy.duke.edu/sites/default/files/2019-11/dukemargolisaienableddxss.pdf. Accessed: 11.07.2021.
  19. European Commission website. Shaping Europe’s digital future. Ethics guidelines for trustworthy AI [Electronic resource]. Available from: https://digital-strategy.ec.europa.eu/en/library/ ethics-guidelines-trustworthy-ai. Accessed: 11.07.2021.
  20. Council of Europe and Artificial Intelligence [Electronic resource]. Available from: https://www.coe.int/en/web/artificial-intelligence. Accessed: 11.07.2021.
  21. United Nations Educational, Cultural and Scientific Organization. SHS/BIO/AHEG-AI/2020/4 REV.2. The first draft of the recommendation on the ethical aspects of artificial intelligence [Electronic resource]. 2020. (In Russ). Available from: https://ifap.ru/ pr/2020/n201116a.pdf. Accessed: 11.07.2021.
  22. European Commission website. USA-China-EU plans for AI: where do we stand? [Electronic resource]. 2018. Available from: https://ati.ec.europa.eu/sites/default/files/2020-07/USA-China-EU%20plans%20for%20AI%20-%20where%20do%20we%20stand%20%28v5%29.pdf. Accessed: 11.07.2021.
  23. Decree of the President of the Russian Federation No. 642 dated 01.12.2016 "On the strategy of scientific and technological development of the Russian Federation". Available from: http://www.kremlin.ru/acts/bank/41449. Accessed: 11.07.2021.
  24. Global Artificial Intelligence Industry Whitepaper [Electronic resource]. Deloitte Technology, Media and Telecommunications Industry; 2019. Available from: https://www2.deloitte.com/cn/en/pages/technology-media-and-telecommunications/articles/ global-ai-development-white-paper.html. Accessed: 11.07.2021.
  25. Geis JR, Brady AP, Wu CC, et al. Ethics of artificial intelligence in radiology: summary of the Joint European and North American Multisociety Statement. Radiology. 2019;293(2):436–440. doi: 10.1148/radiol.2019191586
  26. Safdar NM, Banja JD, Meltzer CC. Ethical considerations in artificial intelligence. Eur J Radiol. 2020;122:108768. doi: 10.1016/j.ejrad.2019.108768
  27. Website of the President of Russia. List of assignments based on the results of the conference on artificial intelligence [Electronic resource]. (In Russ). Available from: http://www.kremlin.ru/acts/assignments/orders/64859. Accessed: 11.07.2021.
  28. The expert center of the electronic state. Actual tasks of international cooperation on the development and regulation of artificial intelligence [Electronic resource]. (In Russ). Available from: http://d-russia.ru/aktualnye-zadachi-mezhdunarodnogo-vzaimodejstviya-po-razvitiyu-i-regulirovaniyu-iskusstvennogo-intellekta.html. Accessed: 11.07.2021.
  29. Order of the Government of the Russian Federation No. 2129-r of 19.08.2020. (In Russ). Available from: http://publication.pravo.gov.ru/Document/View/0001202008260005?index=0&rangeSize=1 Accessed: 11.07.2021.
  30. Decree of the President of the Russian Federation No. 490 dated 10.10.2019 "On the development of artificial intelligence in the Russian Federation". (In Russ). Available from: http://www.kremlin.ru/ acts/bank/44731. Accessed: 11.07.2021.
  31. Ministry of Industry and Trade of the Russian Federation. Federal Agency for Technical Regulation and Metrology. Order No. 1732 of July 25, 2019 "On the establishment of the technical Committee for Standardization "Artificial Intelligence". (In Russ). Available from: https://docs.cntd.ru/document/560916332. Accessed: 11.07.2021.
  32. Technical Committee for Standardization "Artificial Intelligence" (TC164). Order No. 1 of 13.01.2020 "On determining the basic organization of the subcommittee "Artificial Intelligence in Healthcare". (In Russ). Available from: https://tele-med.ai/media/uploads/2021/03/18/01_-2-2.pdf. Accessed: 11.07.2021.
  33. Morozov SP, Chernina VYu, Andreychenko AE, et al. How does artificial intelligence effect on the assessment of lung damage in COVID-19 on chest CT scan? Digital Diagnostics. 2020;2(1):27−38. (In Russ). doi: 10.17816/DD60040.

Қосымша файлдар

Қосымша файлдар
Әрекет
1. JATS XML
Жүктеу

© Sharova D.E., Zinchenko V.V., Akhmad E.S., Mokienko O.A., Vladzymyrskyy A.V., Morozov S.P., 2021

Creative Commons License
Бұл мақала лицензия бойынша қол жетімді Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Осы сайт cookie-файлдарды пайдаланады

Біздің сайтты пайдалануды жалғастыра отырып, сіз сайттың дұрыс жұмыс істеуін қамтамасыз ететін cookie файлдарын өңдеуге келісім бересіз.< / br>< / br>cookie файлдары туралы< / a>