APPLICATION OF ARTIFICIAL INTELLIGENCE IN MEDICINE: MODERN APPROACHES AND DEVELOPMENT PROSPECTS
Keywords:
искусственный интеллект, медицина, диагностика, обработка изображений, интеллектуальные системы, машинное обучение, роботизированная хирургияAbstract
Artificial intelligence (AI) has become an integral part of modern medicine, providing significant improvements in diagnostics, treatment, and patient data management. This article examines key areas of AI application in medicine, including image processing, intelligent decision support systems, robotic surgery, and disease prediction. It analyzes current achievements, existing challenges, and prospects for further development. Emphasis is placed on the need for ethical and legal regulation of the use of AI in healthcare.
References
Jiang, F., Jiang, Y., Zhi, H., et al. (2017). Artificial intelligence in healthcare: past, present and future. Stroke and Vascular Neurology, 2(4), 230–243. https://doi.org/10.1136/svn-2017-000101
Yu, K. H., Beam, A. L., & Kohane, I. S. (2018). Artificial intelligence in healthcare. Nature Biomedical Engineering, 2(10), 719–731. https://doi.org/10.1038/s41551-018-0305-z
Esteva, A., Kuprel, B., Novoa, R. A., et al. (2017). Dermatologist-level classification of skin cancer with deep neural networks. Nature, 542(7639), 115–118.https://doi.org/10.1038/nature21056
Topol, E. (2019). Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again. Basic Books.
Obermeyer, Z., & Emanuel, E. J. (2016). Predicting the Future—Big Data, Machine Learning, and Clinical Medicine. The New England Journal of Medicine, 375, 1216–1219. https://doi.org/10.1056/NEJMp1606181
Downloads
Published
Issue
Section
License
Copyright (c) 2025 А.Ш.Маматюсупов, И.И.Исроилов
This work is licensed under a Creative Commons Attribution 4.0 International License.