The site of the Media Sphera Publishers contains materials intended solely for healthcare professionals.
By closing this message, you confirm that you are a certified medical professional or a student of a medical educational institution.

Potekaev N.N.

Moscow Scientific and Practical Center of Dermatovenerology and Cosmetology;
The Russian National Research Medical University named after N.I. Pirogov

Dolya O.V.

Moscow Scientific and Practical Center of Dermatovenerology and Cosmetology;
Peoples’ Friendship University of Russia

Frigo N.V.

Moscow Scientific and Practical Center of Dermatovenerology and Cosmetology

Atabieva A.Y.

Moscow Scientific and Practical Center of Dermatovenerology and Cosmetology

Mayorova E.M.

Moscow Scientific and Practical Center of Dermatovenerology and Cosmetology

Artificial intelligence in healthcare: general considerations and philosophical aspects

Authors:

Potekaev N.N., Dolya O.V., Frigo N.V., Atabieva A.Y., Mayorova E.M.

More about the authors

Read: 9513 times


To cite this article:

Potekaev NN, Dolya OV, Frigo NV, Atabieva AY, Mayorova EM. Artificial intelligence in healthcare: general considerations and philosophical aspects. Russian Journal of Clinical Dermatology and Venereology. 2022;21(6):749‑756. (In Russ.)
https://doi.org/10.17116/klinderma202221061749

Recommended articles:
Arti­ficial inte­lligence-based software for digi­tal asse­ssment of repa­rative bone tissue rege­neration. Rege­nerative Biotechnologies, Preventive, Digi­tal and Predictive Medi­cine. 2025;(1):19-24
Arti­ficial inte­lligence capa­bilities in multiple scle­rosis. S.S. Korsakov Journal of Neurology and Psychiatry. 2025;(5):14-21
Arti­ficial inte­lligence in comprehensive reha­bilitation of people with disa­bilities. (Literature review). Problems of Balneology, Physiotherapy and Exercise Therapy. 2025;(3):54-61
Arti­ficial inte­lligence in reproductive medi­cine and surgery. Russian Journal of Human Reproduction. 2025;(4):10-25

References:

  1. Lapaeva VV. The right of technogenic civilization before the challenges of technological dehumanization. Pravo. Zhurnal Vysshei shkoly ekonomiki. 2021;3:4-35. (In Russ.). https://doi.org/10.17323/2072-8166.2021.3.4.35
  2. Zinkovskii SA. Orthodox theology of personality and the problems of artificial intelligence. Khristianskoe chtenie. 2020;6:10-24. (In Russ.). https://doi.org/10.47132/1814-5574_2020_6_10
  3. Intellekt, 2020. Accessed Aug 15, 2022. (In Russ.). https://dic.academic.ru/dic.nsf/ruwiki/2081
  4. Kolesnikova AG. Artificial intelligence: problems and prospects. Videonauka. 2018;2(10):5. (In Russ.).
  5. Ukaz Prezidenta RF ot 10.10.19 N 490 «O razvitii iskusstvennogo intellekta v Rossiiskoi Federatsii» (vmeste s «Natsional’noi strategiei razvitiya iskusstvennogo intellekta na period do 2030 g.»). Accessed Sept 02, 2022. (In Russ.). https://www.consultant.ru/document/cons_doc_LAW_335184/
  6. Iskusstvennyi intellekt kak klyuchevoi faktor tsifrovizatsii global’noi ekonomikb. [Elektronnyi resurs]. Accessed Aug 15, 2022. (In Russ.). https://www.iksmedia.ru/news/5385191s20121.html
  7. Roberts Jacob. Thinking Machines: The Search for Artificial Intelligence. Distillations. 2016;2(2):14-23. 
  8. McCarthy J. Programs with common sense. In Proceedings of the Teddington Conference on the Mechanization of Thought Processes. 1958;756-791. 
  9. Samuel AL. Some studies in machine learning using the game of checkers. IBM Journal of Research and Development. 2000;44(1.2):206-226.  https://doi.org/10.1147/rd.441.0206
  10. McCulloch-Pitts Neuron — Mankind’s First Mathematical Model of a Biological Neuron. Accessed Aug 15, 2022. https://towardsdatascience.com/mcculloch-pitts-model-5fdf65ac5dd1
  11. Lindsay RK, Buchanan BG, Feigenbaum EA, Lederberg J. DENDRAL: a case study of the first expert system for scientific hypothesis formation. Artificial intelligence. 1993;61(2):209-226. 
  12. Clancey WJ, Shortliffe EH. Readings in medical artificial intelligence: the first decade. Addison-Wesley; 1984.
  13. Gill S, Parker CJ, Hayes S, Wren P, and Panchenko A. The true height of the waist: explorations of automated body scanner waist definitions of the tc2 scanner. In 5th International Conference and Exhibition on 3D Body Scanning Technologies. 2014;55-65. 
  14. Gill S, Ahmed M, Parker CJ, Hayes SG. Not All Body Scanning Measurements Are Valid: Perspectives from Pattern Practice. 3DBODY.TECH 2017 — 8th International Conference and Exhibition On 3D Body Scanning and Processing Technologies. 2017. https://doi.org/10.15221/17.043
  15. Chi L, Kennon R. Body scanning of dynamic posture. International Journal of Clothing Science and Technology. 2006;18(3):166-178.  https://doi.org/10.1108/09556220610657934
  16. Lyubimov AP, Ponomareva DV, Barabashev AG. National strategy for the development of artificial intelligence. Predstavitel’naya vlast’ — XXI vek: zakonodatel’stvo, kommentarii, problemy. 2019;5-6(172-173):1-7. (In Russ.).
  17. Dechter R. Learning while searching in constraint-satisfaction problems Conference: Proceedings of the 5th National Conference on Artificial Intelligence. Philadelphia. 1986.
  18. Pavlov NA, Andreichenko AE, Vladzimirskii AV, Revazyan AA, Kirpichev YuS, Morozov SP. Reference medical datasets (mosmeddata) for independent external evaluation of algorithms based on artificial intelligence in diagnostics. Digital Diagnostics. 2021;2(1):49-65.  https://doi.org/10.17816/DD60635
  19. Nabory dannykh [Elektronnyi resurs]. Accessed Aug 12, 2022. (In Russ.). https://mosmed.ai/datasets/
  20. Artificial Intelligence in Healthcare Market by Offering (Hardware, Software, Services), Technology (Machine Learning, NLP, Context-aware Computing, Computer Vision), Application, End User and Geography (2021-2027). Accessed Aug 10, 2022. https://www.marketsandmarkets.com/Market-Reports/artificial-intelligence-healthcare-market-54679303.html https://webiomed.ru/blog/obzor-rossiiskikh-sistem-iskusstvennogo-intellekta-dlia-zdravookhraneniia/
  21. Obzor Rossiiskikh sistem iskusstvennogo intellekta dlya zdravookhraneniya. [Elektronnyi resurs]. Accessed Aug 17, 2022. (In Russ.). https://webiomed.ru/blog/obzor-rossiiskikh-sistem-iskusstvennogo-intellekta-dlia-zdravookhraneniia/
  22. Wang H, Zu Q, Chen J, Yang Z, Ahmed MA. Application of Artificial Intelligence in Acute Coronary Syndrome: A Brief Literature Review. Adv Ther. 2021;38(10):5078-5086. https://doi.org/10.1007/s12325-021-01908-2
  23. Wei Chen, Qiang Sun, Xiaomin Chen, Gangcai Xie, Huiqun Wu and Chen Xu Deep Learning Methods for Heart Sounds Classification: A Systematic Review. Entropy. 2021;23(6):667.  https://doi.org/10.3390/e23060667
  24. Bhinder B, Gilvary C, Madhukar NS, Elemento O. Artificial Intelligence in Cancer Research and Precision Medicine. Cancer Discovery. 2021;11(4): 900-915.  https://doi.org/10.1158/2159-8290.CD-21-0090
  25. Majumder A, Sen D. Artificial intelligence in cancer diagnostics and therapy: current perspectives. Indian Journal of Cancer. 2021;58(4):481-492.  https://doi.org/10.4103/ijc.IJC_399_20
  26. Pivovarov R, Elhadad N. Automated methods for the summarization of electronic health records. Journal of the American Medical Informatics Association. 2015;22(5):938-947.  https://doi.org/10.1093/jamia/ocv032
  27. Pouke M, Häkkilä J. Elderly healthcare monitoring using an avatar-based 3D virtual environment. Int J Environ Res Public Health. 2013;17;10(12): 7283-7298. https://doi.org/10.3390/ijerph10127283
  28. 9 luchshikh primerov ispol’zovaniya tekhnologii iskusstvennogo intellekta v zdravookhranenii [Elektronnyi resurs]. Accessed Aug 07, 2022. (In Russ.). https://evercare.ru/news/9-luchshikh-primerov-ispolzovaniya-tekhnologii-iskusstvennogo-intellekta-v-zdravookhranenii
  29. Iskusstvennyi intellekt v meditsine: glavnye trendy v mire [Elektronnyi resurs]. Accessed Aug 09, 2022. (In Russ.). https://medaboutme.ru/articles/iskusstvennyy_intellekt_v_meditsine_glavnye_trendy_v_mire/
  30. ISO/IEC 25012:2008. Software engineering — Software product Quality Requirements and Evaluation (SQuaRE) — Data quality model. Accessed Aug 17, 2022. (In Russ.). https://www.iso.org/ru/standard/35736.html
  31. II-servisy v luchevoi diagnostike [Elektronnyi resurs]. Accessed Aug 10, 2022. (In Russ.). https://mosmed.ai/
  32. Moskva vydelila 147 millionov na vnedrenie iskusstvennogo intellekta v meditsine. Accessed Aug 10, 2022. (In Russ.). https://www.cnews.ru/news/top/2020-02-13_moskva_vydelila_147_millionov
  33. Moskovskaya skoraya razrabotala unikal’nyi algoritm oprosa patsientov: Departament zdravookhraneniya goroda Moskvy [Elektronnyi resurs]. Accessed Mar 02, 2022. (In Russ.). https://mosgorzdrav.ru/ru-RU/news/default/card/4823.html
  34. Iskusstvennyi intellekt primenyaetsya v meditsine Kirovskoi oblasti: Ministerstvo zdravookhraneniya Rossiiskoi Federatsii [Elektronnyi resurs]. Accessed Mar 02, 2022. (In Russ.). https://minzdrav.gov.ru/regional_news/14504-iskusstvennyy-intellekt-primenyaetsya-v-meditsine-kirovskoy-oblasti
  35. ONKOPOISKSAKhA.RF [Elektronnyi resurs]. Accessed Mar 02, 2022. (In Russ.). https://xn--80aawhbpgcajyb7c.xn--p1ai/about
  36. Petersen SE, Abdulkareem M, Leiner T. Artificial intelligence will transform cardiac imaging — opportunities and challenges. Front Cardiovasc Med. 2019;6:133.  https://doi.org/10.3389/fcvm.2019.00133
  37. Shortliffe EH, Sepúlveda MJ. Clinical decision support in the era of artificial intelligence. JAMA. 2018;320(21):2199-2200. https://doi.org/10.1001/jama.2018.17163
  38. Stupka SS. Iskusstvennyi intellekt i obshchestvo: bioeticheskie aspekty. Sbornik statei 4-i Mezhdunarodnoi nauchnoi konferentsii molodykh uchenykh. 2021;161-167. (In Russ.).
  39. Spevakov AG. Neural network application as information processing technology in telecommunication systems. Izvestiya Yugo-Zapadnogo gosudarstvennogo universiteta. Seriya: Upravlenie, vychislitel’naya tekhnika, informatika. Meditsinskoe priborostroenie. 2013;1:151-156. (In Russ.).
  40. Sirl’ Dzh. The mind of the brain is a computer program? Artificial intelligence: different views on the problem. V mire nauki. 1990;3:7-13. (In Russ.).
  41. Bian Y, et al. Artifi cial intelligence—assisted system in postoperative follow-up of orthopedic patients: exploratory quantitative and qualitative study. J. Med. Internet Res. 2020;22(5):e16896. https://doi.org/10.2196/16896
  42. Obzor rossiiskikh sistem prinyatiya vrachebnykh reshenii (SPPVR). Accessed Aug 17, 2022. (In Russ.). https://webiomed.ru/blog/obzor-rossiiskikh-sistem-podderzhki-priniatiia-vrachebnykh-reshenii/
  43. Grebenshchikova EG, Tishchenko PD. Bioethical challenges of artificial intelligence in surgery. Klinicheskaya i eksperimental’naya khirurgiya. Zhurnal im. akad. B.V. Petrovskogo. 2021;9(3):7-15. (In Russ.). https://doi.org/10.33029/2308-1198-2021-9-3-7-15
  44. European Commission on Ethical Guidelines for Trustworthy AI. The High-Level Expert Group on AI presented this guideline which stated three requirements: lawful, ethical and robust Accessed Aug 17, 2022. https://ec.europa.eu/futurium/en/ai-alliance-consultation.

Email Confirmation

An email was sent to test@gmail.com with a confirmation link. Follow the link from the letter to complete the registration on the site.

Email Confirmation

We use cооkies to improve the performance of the site. By staying on our site, you agree to the terms of use of cооkies. To view our Privacy and Cookie Policy, please. click here.