Research Article

Problems and prospects of digitization and the use of artificial intelligence in medicine

Vol. 28 No. 1 (2026)
Published: 2026-01-13
Evgen Kharytonov
Olena Kharytonova
Maxym Tkalych
Yuliia Tolmachevska

This article examines the key trends, challenges, and prospects of digital transformation and the implementation of artificial intelligence (AI) in the field of medicine. With the advent of the fourth industrial revolution and the transition to a post-industrial economy, digital technologies and AI have significantly penetrated healthcare, changing the landscape of diagnostics, treatment, and administrative functions. The study explores the benefits of AI, including personalized treatment, accelerated diagnostics, and more efficient resource management. Simultaneously, it emphasizes the risks — ethical, legal, and data security concerns — which complicate the responsible integration of these technologies. Special attention is given to Ukraine’s efforts in implementing eHealth reforms, expanding telemedicine, and incorporating AI in clinical practice during the ongoing war. International and domestic experiences are analyzed to assess the applicability and consequences of AI solutions in healthcare. The article concludes by underlining the urgent need for comprehensive legal frameworks, ethical standards, and data protection mechanisms to maximize AI’s potential in medicine while minimizing threats to human rights and safety.

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How to Cite

Kharytonov, E., Kharytonova, O., Tkalych, M., & Tolmachevska, Y. (2026). Problems and prospects of digitization and the use of artificial intelligence in medicine. DIXI, 28(1). https://doi.org/10.16925/2357-5891.2026.01.10

Andreasyan, G. (2023, March 31). Medicine during the war: What challenges did the medical system face. Mind. https://mind.ua/en/openmind/20255116-medicine-during-the-war-what-challenges-did-the-medical-system-face

Artamonova, N. O., Myrna, O. M., & Pavliche, Y. V. (2020). Modern digital medical technologies. Ukrainian Radiological Journal, 28(1), 53–59.

Aung, Y. Y. M., Wong, D. C. S., & Ting, D. S. W. (2021). The promise of artificial intelligence: A review of the opportunities and challenges of artificial intelligence in healthcare. British Medical Bulletin, 139(1), 4–15. https://doi.org/10.1093/bmb/ldab016 DOI: https://doi.org/10.1093/bmb/ldab016

Balyen, L., & Peto, T. (2019). Promising artificial intelligence deep learning algorithms in ophthalmology. Asia-Pacific Journal of Ophthalmology, 8(3), 264–272. https://doi.org/10.22608/APO.2018479 DOI: https://doi.org/10.1097/01.APO.0000586388.81551.d0

Baranov, O. A. (2017). Internet of things and artificial intelligence: Origins of the problem of legal regulation. In IT law: Problems and prospects for development in Ukraine (Proceedings of the II International Scientific and Practical Conference, November 17, 2017). Lviv Polytechnic National University.

Baranov, O. A. (2017). Internet of things (IoT): Legal models of using limited radio frequency resources (Part I). Information and Law, 2(21), 41–50. DOI: https://doi.org/10.37750/2616-6798.2017.2(21).273028

Baranov, O. A. (2018). Internet of things (IoT): Robot with artificial intelligence as a subject of legal relations. Legal Ukraine, (5–6), 75–95.

Baranov, O. A. (2019). Legal aspects of national strategies for the development of artificial intelligence. Legal Ukraine, (7).

Baranov, O. A. (2020). Problems of legal support of the information sphere and the internet of things. Legal Thought.

Baranov, O. A. (2021). Social and digital transformation: A source of legal problems. Information and Law, 3(28), 59–73. DOI: https://doi.org/10.37750/2616-6798.2021.3(38).243807

Benjamins, J. W., Hendriks, T., Knuuti, J., Juárez-Orozco, L. E., & Van der Harst, P. (2019). A primer in artificial intelligence in cardiovascular medicine. Netherlands Heart Journal, 27(9), 392–402. https://doi.org/10.1007/s12471-019-1286-6 DOI: https://doi.org/10.1007/s12471-019-1286-6

Buletsa, S. B. (2022). Telemedicine: Advantages and disadvantages in the legal field. Law of Ukraine, (3), 49–60.

Buletsa, S. B., Krytskyi, O. V., & Tashchuk, V. K. (2021). Legal aspects of digitalization in healthcare. Journal of Medical Law, 8(2), 45–52.

Chen, J., & See, K. C. (2020). Artificial intelligence for COVID-19: Rapid review. Journal of Medical Internet Research, 22(10), e21476. https://doi.org/10.2196/21476 DOI: https://doi.org/10.2196/21476

Dmytryk, K. (n.d.). How artificial intelligence is used in medicine: Current achievements and prospects. Weekly APTEKA. https://www.apteka.ua

Dumikyan, M. (n.d.). Artificial intelligence in medicine: How does AI help treat diseases? EON Plus. https://eon.plus

Hrytsenko, V. V. (2016). Digital medicine and intelligent information technologies: The basis of future healthcare. Bulletin of the NAS of Ukraine, (5), 41–43.

Juarez-Orozco, L. E., Knol, R. J. J., Sanchez-Catasus, C. A., Martínez-Manzanera, O., Van der Zant, F. M., & Knuuti, J. (2020). Machine learning in the integration of simple variables for identifying patients with myocardial ischemia. Journal of Nuclear Cardiology, 27(1), 147–155. https://doi.org/10.1007/s12350-018-1304-x DOI: https://doi.org/10.1007/s12350-018-1304-x

Korchinsky, I. O., & Firman, N. A. (2022). Digital medicine: Features and problems of development in Ukraine. Digital Economy and Economic Security, (1), 100–105.

Krytskyi, O. V. (2020). Digitalization of medicine in the conditions of modern society. Political Science Bulletin, (84), 83–92. DOI: https://doi.org/10.17721/2415-881x.2020.84.82-92

Kyrychenko, G. V. (2019). Information and communication mechanisms as innovations in the system of forming a positive image of state authorities. Academic Notes of V. I. Vernadsky TNU. State Administration, 69(6), 46–54. https://doi.org/10.32838/2663-6468/2019.6/09 DOI: https://doi.org/10.32838/2663-6468/2019.6/09

Kyrylenko, N. (n.d.). Special project live to 100: We are the first generation that may choose how long to live. https://www.vz.kiev.ua/spetsproyekt-dozhyty-do-100-my-pershe-pokolinnya-shho-mozhe-obyraty-skilky-zhyty/

Matijas, L. (n.d.). Digitalization of medicine: What digital projects have been implemented this year? https://www.rapin.ua/didzhitalizacziya-mediczini-yaki-czifrovi-proekti-realizovani-czogo-roku/

Palagin, O. V., Semikopna, T. V., Chaikovskiy, I. A., & Syvak, O. V. (2020). Telerehabilitation: Information and technological support and experience of use. Clinical Informatics and Telemedicine, 15(16), 35–44. DOI: https://doi.org/10.31071/kit2020.16.15

Pylypchuk, V. G., Baranov, O. A., & Hylyaka, O. S. (2022). The problem of legal regulation in the sphere of artificial intelligence in the context of the development of European Union legislation. Bulletin of the National Academy of Legal Sciences of Ukraine, 29(2), 35–62.

Radutny, O. E. (2015). Additional methods in the knowledge of criminal law in the information age. Legal Informatics, 2(46), 54–61.

Radutny, O. E. (2016). The state of information and legislative activity on the example of the criminal code of Ukraine. Information and Law, 3(18), 58–67. DOI: https://doi.org/10.37750/2616-6798.2016.3(18).272969

Radutny, O. E. (2017). Artificial intelligence as a subject of crime. Information and Law, 4(23), 106–115. DOI: https://doi.org/10.37750/2616-6798.2017.4(23).273130

Saeed, U., Shah, S. Y., Ahmad, J., et al. (2022). Machine learning empowered COVID-19 patient monitoring using non-contact sensing: An extensive review. Journal of Pharmaceutical Analysis, 12(2), 193–204. https://doi.org/10.1016/j.jpha.2021.12.006 DOI: https://doi.org/10.1016/j.jpha.2021.12.006

Stefanchuk, M. O., & Muzyka-Stefanchuk, O. A. (2019). Digital economy: Legal regulation and risks. Law and Society, 2(1), 13–22.

Stefanchuk, M. O., Muzyka-Stefanchuk, O. A., & Stefanchuk, M. M. (2021). Prospects for legal regulation of relations in the sphere of artificial intelligence use. Bulletin of the National Academy of Legal Sciences of Ukraine, 28(1), 157–168. DOI: https://doi.org/10.37635/jnalsu.28(1).2021.157-168

Tashchuk, V. K., & Malinovska-Biliychuk, O. V. (2023). ECG digitization in optimizing the diagnosis of acute and chronic coronary syndromes. Bukovyna Medical Bulletin, 27(4), 93–99. DOI: https://doi.org/10.24061/2413-0737.27.4.108.2023.17

Voronenko, Yu. V., & Mintser, O. P. (2012). Concept of informatization of healthcare in Ukraine. Medical Informatics and Engineering, (3), 5–29.

World Health Organization. (2023). Artificial intelligence for health: Supporting countries to deploy responsible AI technologies to accelerate equitable health for all. https://www.who.int/publications/m/item/artificial-intelligence-for-health

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