THE CONCEPT OF «CYBERPATIENT» IN THE CONTEXT OF ARTIFICIAL INTELLIGENCE APPLICATION

Authors

  • О. Panchenko State Non-Profit Enterprise «Scientific and Practical Medical Rehabilitation and Diagnostic Centre of the Ministry of Health of Ukraine», Kyiv, Ukraine https://orcid.org/0000-0001-9673-6685
  • А. Kabantseva State Non-Profit Enterprise «Scientific-Practical Medical RehabilitationDiagnostic Centre of the Ministry of Health of Ukraine», Kyiv, Ukraine https://orcid.org/0000-0001-7678-6052
  • V. Humeniuk State Non-Profit Enterprise «Scientific and Practical Medical Rehabilitation and Diagnostic Centre of the Ministry of Health of Ukraine», Kyiv, Ukraine https://orcid.org/0000-0002-5388-1425

DOI:

https://doi.org/10.31673/2786-7412.2026.028011

Keywords:

artificial intelligence, cyberpatient, artificial patient, information technology, cognitive health, AI-induced psychosis

Abstract

This article examines the phenomenon of the cyberpatient within the
context of the growing integration of artificial intelligence in healthcare and the digital
environment. The study emphasises the necessity of recognising artificial intelligence as
an objective element of contemporary social reality and raises the fundamental question
of whether its increasing presence in human life should be regarded as beneficial or
potentially harmful.
The concept of the cyberpatient is defined as an individual who functions either
as a subject or as an object (depending on the analytical perspective) within the medical
sphere through the use of information technologies and artificial intelligence aimed at
improving physical and mental health outcomes.
The phenomenon is analysed through three interrelated dimensions reflecting the
interaction between human interests and artificial intelligence technologies. First, the
cyberpatient is considered as a virtual patient in medical education, where advanced
interactive systems support the development of medical and psychological care
competencies. A key element of such systems is the artificial patient, understood as a
computer-based simulation of the human body or its subsystems at different levels
(biochemical, cellular, physiological, and systemic). These models make it possible to
simulate the effects of pharmacological interventions, predict physiological responses,
and analyse the influence of various natural physical factors on the human organism.
Second, the cyberpatient is examined as a consumer of medical information in the
digital environment, where the Internet functions as a global virtual repository of medical
knowledge and health-related resources.
Third, the cyberpatient is analysed in relation to mental health risks associated
with interaction with artificial intelligence, particularly in two key aspects: (a) the
influence of AI-driven chatbots on cognitive health, and (b) the emergence of phenomena
described as AI-induced psychosis.
The study concludes that the implementation of artificial intelligence in
healthcare must be oriented toward strengthening, rather than undermining, human
health. In this context, an essential principle is that authentic care and therapeutic
assistance should remain the responsibility of human professionals, while artificial
technologies should function primarily as supportive tools rather than systems designed
mainly to increase engagement with AI platforms. The scientific community, public
institutions, and society as a whole therefore face the task of developing effective
frameworks for the research, regulation, and responsible use of artificial intelligence
technologies.

References
1. Dictionary UA. (2026). Panatseya [Panacea]. Retrieved from
https://slovnyk.ua/index.php?swrd=%D0%BF%D0%B0%D0%BD%D0%B0%D
1%86%D0%B5%D1%8F [In Ukrainian].
2. Vysotskyi, A. A., Surikov, O. O., & Vasyliuk-Zaitseva, S. V. (2023). Rozvytok
shtuchnoho intelektu v suchasnii medytsyni [Development of artificial
intelligence in modern medicine]. Ukrainskyi medychnyi chasopys, 2(154), 1–4.
https://doi.org/10.32471/umj.1680-3051.154.241221 [In Ukrainian].
3. Schwalbe, N., & Wahl, B. (2020). Artificial intelligence and the future of global
health. The Lancet, 395(10236), 1579–1586. https://doi.org/10.1016/S0140-
6736(20)30226-9 [In English].
4. Lesiv, V. I. (2023). Ryzyky vykorystannia shtuchnoho intelektu [Risks of using
artificial intelligence]. In Problemy kompiuternoi inzhenerii: Zbirnyk tez
naukovo-praktychnoi konferentsii (pp. 49–51). DUIKT. Retrieved from
https://duikt.edu.ua/uploads/p_2626_33497568.pdf [In Ukrainian].
5. Wolff, J., Pauling, J., Keck, A., & Baumbach, J. (2021). Success factors of
artificial intelligence implementation in healthcare. Frontiers in Digital Health,
3, 594971. https://doi.org/10.3389/fdgth.2021.594971 [In English].
6. Mudgal, S. K., Agarwal, R., Chaturvedi, J., Gaur, R., & Ranjan, N. (2022). Realworld application, challenges and implication of artificial intelligence in
healthcare: An essay. The Pan African Medical Journal, 43, 3.
https://doi.org/10.11604/pamj.2022.43.3.33384 [In English].
7. Pharmaceutical Encyclopedia of Ukraine. (2025). Virtualnyi patsiient [Virtual
patient]. Retrieved from https://www.pharmencyclopedia.com.ua/article/8063/vi
rtualnij-paciyent [In Ukrainian].
8. Ellaway, R., Poulton, T., Fors, U., McGee, J. B., & Albright, S. (2008). Building
a virtual patient commons. Medical Teacher, 30(2), 170–174.
https://doi.org/10.1080/01421590701874074 [In English].
9. GitHub. (2026). OpenLabyrinth. Retrieved from https://github.com/olab/OpenLabyrinth?tab=readme-ov-file [In English].
10. Physiome Project. (2026). About the Physiome Project. Retrieved from
https://physiomeproject.org/about [In English].
11. Nirenburg, S. (2010). The Maryland virtual patient as a task-oriented
conversational companion. In Y. Wilks (Ed.), Close engagements with artificial
companions: Key social, psychological, ethical and design issues (pp. 381–392).
John Benjamins Publishing Company. https://doi.org/10.1075/nlp.8.28nir [In
English].
12. Body Interact. (2026). Virtual patients simulator. Retrieved from
https://bodyinteract.com/ [In English].
13. Seçkin, G. (2010). Cyber patients surfing the medical web: Computer-mediated
medical knowledge and perceived benefits. Computers in Human Behavior, 26(6),
1694–1700. https://doi.org/10.1016/j.chb.2010.06.018 [In English].
14. Stearn, E. (2024). Don't rely on Dr AI: New search engine gives medical advice
that could lead to death in one in five cases. Daily Mail. Retrieved from
https://www.dailymail.co.uk/health/article-13950495/AI-health-advice-searchengine-drugs-death.html [In English].
15. Abbas, H. (2024). The dangers of self-diagnosis using AI chatbots: A doctor's
perspective. Retrieved from https://medevel.com/the-dangers-of-self-diagnosisusing-ai-1700/ [In English].
16. Dergaa, I., Ben Saad, H., Glenn, J. M., Amamou, B., Ben Aissa, M., Guelmami,
N., Fekih-Romdhane, F., & Chamari, K. (2024). From tools to threats:
A reflection on the impact of artificial-intelligence chatbots on cognitive health.
Frontiers in Psychology, 15, 1259845.
https://doi.org/10.3389/fpsyg.2024.1259845 [In English].
17. Espinosa, G. (2025). Investigating the rise of AI psychosis. Retrieved from
https://www.unite.ai/investigating-the-rise-of-ai-psychosis/ [In English].
18. Deloitte Touche Tohmatsu Limited. (2025). Zaborona nepryiniatnykh praktyk
vykorystannia shtuchnoho intelektu v YeS [Prohibition of unacceptable practices
in the use of artificial intelligence in the EU]. Retrieved from
https://www.deloitte.com/ua/uk/services/tax/perspectives/tax-and-legal-alert2025-02-13.html [In Ukrainian].
19. The Pharma Media. (2025). ChatGPT bilshe ne davatyme medychnykh i
yurydychnykh porad [ChatGPT will no longer provide medical and legal advice].
Retrieved from https://thepharma.media/uk/news/40077-chatgpt-bilse-nedavatime-medicnix-i-yuridicnix-porad-openai-onovila-pravila-vikoristannya03112025 [In Ukrainian].

Published

2026-06-12

Issue

Section

Articles