DEVELOPMENT AND ANALYSIS OF DIAGNOSTIC SYSTEMS BASED ON ARTIFICIAL INTELLIGENCE IN MEDICINE.
Keywords:
Sun’iy intellekt, tibbiy diagnostika, mashinaviy o‘qitish, chuqur o‘qitish, tasviriy tahlil, genetik ma’lumotlar, klinik integratsiya, onkologiya, kardiologiya, nevrologiya, ma’lumot sifati, axloqiy muammolar, tushuntiriladigan SI, shaxsiylashtirilgan tibbiyot, global integratsiya.Abstract
Artificial intelligence (AI) technologies are revolutionizing the development of diagnostic systems in the medical field. This article provides a comprehensive analysis of the main stages of the development of AI-based diagnostic systems, their applications in the clinical environment, their advantages and limitations. In particular, the role of machine learning, deep learning and natural language processing algorithms in medical image analysis, genetic data prediction and clinical record integration is studied. The article examines the application of AI systems in areas such as oncology, cardiology and neurology, as well as their advantages in terms of accuracy, speed and cost reduction. At the same time, data quality, ethical issues and limitations related to the explanation of algorithms are also discussed. In the future, AI-based diagnostic systems are expected to develop in the areas of personalized medicine, multimodal analysis and global integration. This study aims to shed light on the potential of SI technologies in medical diagnostics and their future prospects.
References
Abdullaev, S. (2021). Sun’iy intellektning tibbiyotdagi istiqbollari. Fan va texnologiya jurnali, 3(2), 45–52. Toshkent: O‘zbekiston Milliy universiteti.
Xo‘jayev, A. (2020). Tibbiy diagnostikada raqamli texnologiyalarni qo‘llash. Sog‘liqni saqlash sohasida innovatsiyalar, 5(1), 12–18. Toshkent: Tibbiyot nashriyoti.
Qosimov, R. (2019). Sun’iy intellekt asoslari va uning tibbiyotdagi qo‘llanilishi. Toshkent: Fan va texnologiya nashriyoti.
Mirzayev, B., & Rahmonova, D. (2022). Tibbiy tasvirlarni tahlil qilishda mashinaviy o‘qitish algoritmlari. O‘zbekiston tibbiyot jurnali, 4(3), 67–74. Toshkent: Tibbiyot instituti.
To‘xtayeva, N. (2023). Sun’iy intellekt yordamida onkologik kasalliklarni erta aniqlash. Ilm-fan yangiliklari, 2(1), 33–39. Toshkent: Akademnashr.
Karimov, U. (2018). Tibbiy ma’lumotlarni avtomatlashtirish va SI texnologiyalari. *Texnika va innovatsiyalar 7(4), 55–60. Samarqand: Samarqand davlat universiteti nashriyoti.
Ismoilova, G. (2021). Tibbiyotda katta ma’lumotlarni tahlil qilish va sun’iy intellekt. Toshkent: Yangi asr avlodi nashriyoti.
Sobirov, K., & Ahmedov, S. (2020). Sun’iy intellekt asosidagi diagnostika tizimlarining kelajagi. Tibbiyot va sport, 6(2), 23–29. Toshkent: O‘zbekiston sog‘liqni saqlash vazirligi nashriyoti.
Rahimova, M. (2022). Tibbiyotda SI: Axloqiy va huquqiy muammolar. O‘zbekiston huquq jurnali, 3(1), 88–94. Toshkent: Adolat nashriyoti.
Olimov, T. (2019). Mashinaviy o‘qitishning tibbiy diagnostikadagi ahamiyati. Fan va jamiyat, 5(3), 41–47. Farg‘ona: Farg‘ona davlat universiteti.
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