Article
Article name	Artificial Intelligence in the System of “Physician-Patient”: Anthropocentrism vs Technocentrism
Authors	Izutkin D.A. Doctor of Philosophy, Professor, dan55@mail.ru
Bibliographic description	Izutkin D. A. Artificial Intelligence in the System of “Physician-Patient”: Anthropocentrism vs Technocentrism // Humanitarian Vector. 2024. Vol. 19, no. 1. P. 149–157. DOI: 10.21209/1996-7853-2024-19-1-149-157.
Section	Humanistic Trends in the Development of Society
UDK	004.8 614.253
DOI	10.21209/1996-7853-2024-19-1-149-157
Article type	Original article
Annotation	The use of artificial intelligence (AI) is becoming one of the priority areas of digitalization in various social spheres, where the medical industry is one of the most in demand. However, the use of AI in medicine raises a number of questions that require ethical and philosophical reflection. In particular, this concerns the relationship between the doctor and the patient from the point of view of traditional bioethical principles. The novelty of this research is the ethical and philosophical assessment of the use of AI within the framework of specific models of the relationship between a doctor and a patient. The problem is the tendency to reassess bioethical principles in modern medicine in the context of the use of AI. The purpose of the study is to reveal the contradictory nature of the relationship between a doctor and a patient in the use of AI. The hypothesis of the study: in the context of the use of AI in medicine, traditional historical values in doctor-patient communication (anthropocentrism) and orientation towards digital technologies (technocentrism) come into conflict. The research materials are the analysis of domestic and foreign literature on the stated problem. The methods are based on a dialectical method and a modeling method to assess the impact of AI on the doctor-patient relationship. Concrete results – the use of AI in the relationship between a doctor and a patient significantly affects the content of the basic principles of bioethics and can lead to their significant transformation in the era of digitalization in the field of medicine. Anthropocentrism, which has historically developed in doctor-patient communication, tends to be replaced by technocentrism within the framework of the use of AI. As prospects for the study of this problem, the need to solve issues at the technological, ethical and legislative levels should be highlighted.
Key words	artificial intelligence, physician, patient, models, bioethics
Article information
References	1. Steels, L., Mantaras, R. L. The Barcelona declaration for the proper development and usage of artificial intelligence in Europe. AI Communications, no. 31, pp. 485–494, 2018. (In Engl.) 2. Baimuratova, L. R., Sharova, O. A. Digital Literacy for the Economy of the Future: A Monograph. M: NAFI OOO, 2018. (In Rus.) 3. Belyaletdinov, R. R., Grebenshchikova, E. G., Kiyashchenko, L. P., Popova, O. V., Tishchenko, P. D., Yudin, B. G. Socio-humanitarian support of personalized medicine projects: philosophical aspect. Knowledge. Understanding. Ability, no. 4, pp. 12–23, 2014. (In Rus.) 4. Bledzhyants, G. A., Sarkisyan, M. A., Isakova, Yu. A., Tumanov, N. A., Popov, A. N., Begmurodova, N. S. Socio-humanitarian support of personalized medicine projects: philosophical aspect медицине. Remedium, no. 12, pp. 10–15, 2015. (In Rus.) 5. Kobrinskiy, B. A. Personalized medicine: genome, e-health and intelligent systems. Ch. 2. Molecular Genetics and Methods of Intellectual Analysis. Russian Bulletin of perinatology and pediatrics, no. 6, pp. 16–22, 2017. (In Rus.) 6. Makarov, A. D., Saksena, M., Sapozhnikov, D. P. Prospects for the use of artificial intelligence and big data to bring medical practice to a qualitatively new level. Bulletin of the Higher School of Healthcare Organization and Management, no. 2, pp. 43–45, 2017. (In Rus.) 7. Morkhat, P. M. On the specifics of the legal regulation of artificial intelligence and some legal problems of its application in certain areas. Law and law, no. 6, pp. 63–67, 2018. (In Rus.) 8. Poryaeva, E. P., Evstaf’eva, E. A. Artificial Intelligence in Medicine. News of science and education, no. 6-2, pp. 15–19, 2019. (In Rus.) 9. Bryzgalina, E. V. Medicine in the Optics of Artificial Intelligence: A Philosophical Context of the Future. Chelovek, no. 6, pp. 54–71, 2019. (In Rus.) 10. Berdutin, V. A., Abaeva, O. P., Romanova, T. E., Romanov, S. V. Application of AI in Medicine: Achievements and Prospects. Literature review Part 1. Sociology of medicine, no. 1, pp. 83–96, 2022. (In Rus.) 11. Romanova, T. E., Abaeva, O. P., Romanov, S. V., Rodina, A. A. The Attitude of Patients of a Multidisciplinary Hospital to the Processes of Digitalization in Modern Healthcare: A One-Time Continuous Study. Sociology of medicine, no. 2, pp. 177–181, 2022. (In Rus.) 12. Beauchamp, L., Childress, J. F. Principles of biomedical ethics. Fifth edition. Oxford: Oxford University Press, 2001. (In Rus.) 13. Veatch, R. M. The Patient-Physician Relation. Bloomington: Indiana University Press, 1991. (In Engl.) 14. Soellner, M., Koenigstorfer, J. Complience with medical recommendations depending on the use of artificial intelligence as a diagnostic metho. BMC Medical Informatics and Decision Making, no. 21, pp. 236, 2021. DOI: 10.1186/s12911-021-01596-6. (In Engl.) 15. Lorenzini, G., Ossa, L. A., Shaw, D. M., Elger, B. S. Artificial intelligence and the doctor-patient relationship expanding the paradigm of shared decision-making. Bioethics, vol. 37, pp. 424–429, 2023. DOI: 10.1111/bioe.13158. (In Engl.) 16. Heyen, N., Salloch, S. The ethics of machine learning-based clinical decision support: an analysis through the lens of professional theory. BMC Med Ethics, no. 1, pp. 1–8, 2021. DOI: 10.1186/s12910-021-00679- 3. (In Engl.) 17. Lennartz, S., Dratsch, D., Zopfs, D., Persigehl, T., Maintz, D., Hokamp, N. G., Santos, D. P. Use and control of artificial intelligence in patients across the medical workflow: Single center questionnaire study of patient, perspectives. Journal of Medical Internet Research, no. 2, 2021. DOI: 10.2196/24221. (In Engl.) 18. Ploug, T., Holm, S. The right to a second opinion on artificial diagnosis – remedying the inadequacy of a risk-based regulation. Bioethics, vol. 37, no. 30, pp. 303–311, 2023. DOI: 10.1111/bioe.13124. (In Engl.) 19. Erdmann, A., Rehman-Sutter, C., Bozzaro, C. Patients’ and professionals’ views related to ethical issues in precision medicine: a mixed research synthesis. BMC Med Ethics, no. 1, pp. 116, 2021. DOI: 10.1186/ s12910-021-00682-8. (In Engl.) 20. Gunderson, T., Beroe, K. The future ethics of artificial intelligence in medicine: Making sense of collaborative models. Science and Engineering Ethics, no. 28, pp. 17, 2022. DOI 10.1007/s11948-022-00369-2. (In Engl.) 21. Sauerbrei, A., Kerasidou, A., Lucivero, F., Hallovell, N. The impact of artificial intelligence on the personcentered doctor-patient relationship: some problems and solutions. BMC Medical Informatics and Decision Making, no. 1, pp. 73, 2023. DOI 10.1186/s12911-023-02162-y. (In Engl.) 22. Holtz, B., Nelson, V., Poropatich, R. Artificial intelligence in health: Enhancing a return to patient-centered communication. Telemedicine Journal and e-Health, no. 29, pp. 795–797, 2023. DOI: 10.1089/tmj.2022.0413. (In Engl.) 23. Bjerring, J. C., Busch, J. Artificial intelligence and patient-centered decision-making. Philos Technol, vol. 34, pp. 349–371, 2021. DOI: 10.1007/s13347-019-00391-6. (In Engl.) 24. Banja, J. D., Hollstein, R. D., Bruno, M. A. When artificial intelligence models surpass physician performance: Medical malpractice liability in an Era of advanced artificial intelligence. Journal of the American College of Radiology, no. 7, pp. 816–820, 2022. DOI: 10.1016/j. jocr.2021.11.014. (In Engl.) 25. Ploug, T., Holm, S. The right to refuse diagnostics and treatment planning by artificial intelligence. Medicine, Health Care and Philosophy, no. 23, pp. 107–114, 2020. DOI: 10.1007/s11019-019-09912-8. (In Engl.) 26. Beriain, I. M. Should we have a right to refuse diagnostics and treatment planning by artificial intelligence? Medicine, Health Care and Philosophy, no. 23, pp. 247–252, 2020. DOI: 10.107/s11019-020-09939-2. (In Engl.) 27. Dalton-Brown, S. The ethics of medical artificial intelligence and the physician-patient relationship. Cambridge Quarterly of Healthcare Ethics, vol. 29, pp. 115–121, 2020. DOI: 10.1017/S096318011900847. (In Engl.) 28. Kluge, E. H. W. Artificial intelligence in healthcare: Ethical considerations. Health Manage Forum, vol. 33, no. 1, pp. 47–49, 2020. DOI: 10/1177/0840470419850438. (In Engl.) 29. Tanaka M., Matsumura, S., Bito, S. Roles and competencies of doctors in artificial intelligence implementations: Quantitative analysis through physician interviews. JMIR, vol. 18, 2023. DOI: 10.2196/46020. (In Engl.)
Full article	Artificial Intelligence in the System of “Physician-Patient”: Anthropocentrism vs Technocentrism
	0
	13