Articles
| Open Access |
https://doi.org/10.37547/ijmscr/Volume06Issue02-08
Features Of Implementing Artificial Intelligence In Uzbekistan's Medicine
Abstract
This article analyzes the current state of artificial intelligence implementation in the healthcare system of the Republic of Uzbekistan. Based on domestic and international scientific sources, the article summarizes key areas of AI application in clinical and managerial practice and assesses its potential effects and limitations. It is established that the use of AI in healthcare in Uzbekistan is in its infancy and is characterized by fragmentation, insufficient institutional support, and a shortage of human resources. It is shown that sustainable and safe implementation of AI is possible with systemic digitalization, the development of a regulatory framework, and targeted training of medical personnel, taking into account the national characteristics of the healthcare system.
Keywords
Artificial intelligence, healthcare, digitalization of medicine
References
Pirnazarova, F. G. K. (2025). Prospects for the Application of IT in the Medical Sphere of Uzbekistan. Academic Research in Educational Sciences, (Conference 1), 220-222.
Gulomova, M. Zh., & Zhumaev, N. A. (2025). Application of Artificial Intelligence in Making a Primary Diagnosis. Academic Research in Educational Sciences, (Conference 1), 111-112.
Vikhrov, I. P., & Ashirbaev, Sh. P. (2021). Attitudes of Faculty and Students of Medical Universities to Artificial Intelligence Technologies in Uzbekistan. Prospects for the Development of Higher Education, (10), 19-39.
Isomadinova, G. (2022). Challenges Facing the Digital Transformation of Healthcare in Uzbekistan. Science and Innovation, 1(D8), 379–383.
Vasyuta, E. A., & Podolskaya, T. V. (2022). Problems and Prospects of Implementing Artificial Intelligence in Medicine. State and Municipal Administration. Scientific Notes, (1), 25–32.
Lebina, V. A., Shikhalahova, O. Kh., Kokhan, A. A., Rashidov, I. Yu., Tazhev, K. A., Filippova, A. V., ... & Askerova, A. I. (2025). Potential and Limitations of Implementing Artificial Intelligence Technologies in Reproductive Medicine. Obstetrics, Gynecology, and Reproduction, 19(3), 423–442.
Litvin, A. A., Stoma, I. O., Sharshakova, T. M., Rumovskaya, S. B., & Kovalev, A. A. (2024). New Possibilities of Artificial Intelligence in Medicine: A Descriptive Review. Problems of Health and Ecology, 21(1), 7–17.
Kholopov, A. A., Kozyreva, V. I., & Tikhonova, O. V. (2023). The Role of Artificial Intelligence in Medicine. In Science and Education: Current Issues in Theory and Practice: Proceedings of the III International Scientific and Methodological Conference dedicated to the 50th Anniversary of Samara State Transport University (Samara, March 21–22, 2023). Orenburg: OrIPS-branch of Samara State Transport University (p. 179). 9. Khusanov, U. A. U., Kudratillaev, M. B. U., Siddikov, B. N. U., & Dovletova, S. B. (2023). Artificial Intelligence in Medicine. Science and Education, 4(5), 772-782.
Koshechkin, K. A. (2023). Regulation of Artificial Intelligence in Medicine. Patient-Oriented Medicine and Pharmacy, (1), 32-40.
Alikperova, N. V. (2023). Artificial Intelligence in Healthcare: Risks and Opportunities. Megapolis Health, 4(3), 41-49.
Ugleva, A. V., Shilova, V. A., & Karpova, E. A. (2024). The "Ethicality" Index of Artificial Intelligence Systems in Medicine: From Theory to Practice. Ethical Thought, 24(1), 144–159.
Vigel, N. L., & Mettini, E. (2024). Ethical and Cultural Challenges of Implementing Artificial Intelligence in Medical Practices: A Multicultural Analysis. Medical Ethics, (3), 11.
Kuzikova, A. V., & Burlakov, V. V. (2025). Marketing Innovations Using Artificial Intelligence: The Key to the Competitiveness of Medical Enterprises. Financial Management, (2), 84–94.https://doi.org/10.25806/fm-2-2025-84-94
Article Statistics
Copyright License
Copyright (c) 2026 Bakhridin Makhmatkulovich Eshdavlatov

This work is licensed under a Creative Commons Attribution 4.0 International License.