Artificial intelligence in medical practice

Cover Page


Cite item

Full Text

Open Access Open Access
Restricted Access Access granted
Restricted Access Subscription or Fee Access

Abstract

With state support, artificial intelligence is being intensively introduced into the healthcare sector. This review provides general information about artificial intelligence and its place in the healthcare system. A part of the lecture is devoted to the Moscow experiment on the use of computer vision in real clinical practice and the experience of the Kirov region on the use of artificial intelligence in the medical examination of the population. The lecture will be interesting to doctors and students to expand their general understanding of artificial intelligence and the possibility of its application in practical healthcare.

Full Text

Restricted Access

About the authors

Tatiana S. Fil

North-Western State Medical University named after I.I. Mechnikov

Author for correspondence.
Email: fts-88@mail.ru
ORCID iD: 0000-0002-2859-4942
SPIN-code: 8040-8116

MD, Cand. Sci. (Med.)

Russian Federation, 47, Piskarevsky Ave., Saint Petersburg, 195067

References

  1. Ukaz Prezidenta RF ot 10.10.2019 N 490 “O razvitii iskusstvennogo intellekta v Rossiiskoi Federatsii”. Available from: http://www.kremlin.ru/acts/bank/44731. Accessed: 01.10.2023. (In Russ.)
  2. Postanovlenie Pravitel’stva RF ot 09.02.2022 N 140 (red. ot 30.11.2022) “O edinoi gosudarstvennoi informatsionnoi sisteme v sfere zdravookhraneniya” Available from: https://www.consultant.ru/document/cons_doc_LAW_409253/. Accessed: 01.10.2023. (In Russ.)
  3. Fil TS. Digital healthcare in the Russian Federation: the current stage of transformation. HERALD of North-Western State Medical University named after I.I. Mechnikov. 2022;14(1):39–50. (In Russ.) doi: 10.17816/mechnikov101609
  4. Eligulashvili RR, Zarodnyuk IV, Achkasov SI, et al. The use of artificial intelligence in MRI diagnostics of rectal cancer. Koloproktologia. 2022;21(1):26–36. (In Russ.) doi: 10.33878/2073-7556-2022-21-1-26-36
  5. Bakulin IG, Rasmagina IA, Skalinskaya MI, et al. Application of artificial intelligence for endoscopic image analysis in inflammatory bowel diseases. Therapy. 2022;8(7):7–14. (In Russ.) doi: 10.18565/therapy.2022.7.7-14
  6. Svidetel’stvo o gosudarstvennoi registratsii bazy dannykh No. 2023621043 Rossiiskaya Federatsiya. MosMedData: KT s priznakami limfadenopatii. (authors) Yu.A. Vasil’ev, E.V. Turavilova, I.M. Shul’kin, et al. (In Russ.)
  7. Moor M, Banerjee O, Abad ZSH, et al. Foundation models for generalist medical artificial intelligence. Nature. 2023. Vol. 616. P. 259–265. doi: 10.17816/mechnikov10160910.1038/s41586-023-05881-4
  8. Pis’mo Federal’noi sluzhby po nadzoru v sfere zdravookhraneniya ot 13 fevralya 2020 g. N 02I-297/20 “O programmnom obespechenii”. Available from: http://www.consultant.ru/cons/cgi/online.cgi?req=doc&base=EXP&n=602302#dmPWBcTSeGFhJrrK1. Accessed: 01.10.2023. (In Russ.)
  9. Prikaz Minzdrava ot 30 avgusta 2021 goda N 885n “Ob utverzhdenii Poryadka provedeniya otsenki sootvetstviya meditsinskikh izdelii v forme tekhnicheskikh ispytanii, toksikologicheskikh issledovanii, klinicheskikh ispytanii v tselyakh gosudarstvennoi registratsii meditsinskikh izdeliI”. Available from: http://www.consultant.ru/document/cons_doc_LAW_400473/. Accessed: 01.10.2023. (In Russ.)
  10. Morozov SP, Zinchenko VV, Khoruzhaya AN, et al. Standardization of artificial intelligence in healthcare: Russia becomes a leader. Medical doctor and IT. 2021;(2):12–19. (In Russ.) doi: 10.25881/18110193_2021_2_12
  11. Perechen’ otechestvennykh meditsinskikh izdelii na osnove tekhnologii iskusstvennogo intellekta, zaregistrirovannykh v Roszdravnadzore. Available from: https://portal.egisz.rosminzdrav.ru/news/855. Accessed: 01.10.2023. (In Russ.)
  12. Vladzimirskii AV, Vasil’ev YuA, Arzamasov KM, et al. Komp’yuternoe zrenie v luchevoi diagnostike: pervyi ehtap Moskovskogo ehksperimenta. Moscow: Izdatel’skie resheniya; 2022. 388 p. (In Russ.)
  13. GOST R 59921.1-2022. Natsional’nyi standart Rossiiskoi Federatsii. Sistemy iskusstvennogo intellekta v klinicheskoi meditsine. Chast’ 1. Klinicheskaya otsenka” (utv. i vveden v deistvie Prikazom Rosstandarta ot 28.06.2022 No. 545-st). Available from: https://www.consultant.ru/document/cons_doc_LAW_421456/. Accessed: 01.10.2023. (In Russ.)
  14. Ofitsial’nyi sait mehra Moskvy. Available from: https://www.mos.ru/news/item/129261073/ Accessed: 01.10.2023. (In Russ.)
  15. Kurdyumov DA, Kashin AV, Ryabov NYu, et al. Experience in the application of artificial intelligence technologies for the development of preventive health care on the example of the Kirov region. Manager Zdravoochranenia. 2023;6:62–69. (In Russ.) doi: 10.21045/1811-0185-2023-6-62-69
  16. Gilyarevsky SR, Gavrilov DV, Gusev AV. Retrospective analysis of electronic health records of patients with heart failure: theirst Russian experience. Russian Journal of Cardiology. 2021;26(5):4502. (In Russ.) doi: 10.15829/1560-4071-2021-4502
  17. Borges do Nascimento IJ, Abdulazeem HM, Vasanthan LT, et al. The global effect of digital health technologies on health workers’ competencies and health workplace: an umbrella review of systematic reviews and lexical-based and sentence-based meta-analysis. Lancet Digital Health. 2023;5(8):534–544. doi: 10.1016/S2589-7500(23)00092-4

Supplementary files

Supplementary Files
Action
1. JATS XML

Copyright (c) 2023 Eco-Vector



СМИ зарегистрировано Федеральной службой по надзору в сфере связи, информационных технологий и массовых коммуникаций (Роскомнадзор).
Регистрационный номер и дата принятия решения о регистрации СМИ: серия ПИ № ФС 77 - 70763 от 21.08.2017 г.


This website uses cookies

You consent to our cookies if you continue to use our website.

About Cookies