SUN’IY INTELLEKT YORDAMIDA YURAK-QON TOMIR KASALLIKLARINI ERTA TASHXISLASH

Authors

  • Atahanov Sanjarbek Anvarovich Farg`ona jamoat salomatligi tibbiyot institutining “Biotibbiyot muhandisligi, biofizika va axborot texnologiyalari” kafedrasi assistenti, Farg'ona O'zbekiston Author
  • Muxtorova Muattarxon Alijon qizi Author
  • Kamoliddinova Sevinchbonu Rahmiddin qizi Author

Keywords:

sun’iy intellekt, mashina o‘rganish, yurak-qon tomir kasalliklari, erta tashxis, kardiologiya, tibbiy texnologiyalar.

Abstract

Maqolada sun’iy intellekt (SI) texnologiyalarining yurak-qon tomir kasalliklarini erta tashxislashdagi o‘rni chuqur tahlil qilinadi. Yurak faoliyati haqidagi ma’lumotlarni avtomatik tahlil qilish orqali diagnostika aniqligini oshirish, kasallik rivojlanishini prognozlash hamda klinik qarorlarni qabul qilishda shifokorlarga yordam berish imkoniyatlari yoritilgan. Shuningdek, sun’iy intellekt algoritmlarining klinik amaliyotdagi afzalliklari, cheklovlari va istiqbollari haqida fikr yuritilgan.

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References

World Health Organization. Cardiovascular Diseases (CVDs): Key Facts, 2024.

Rajpurkar P. et al. Deep learning for cardiovascular disease diagnosis, Nature Medicine, 2022.

Topol E. High-performance medicine: The convergence of human and artificial intelligence, Nature Medicine, 2019.

Google Health AI. AI-based cardiac diagnostics report, 2023.

IBM Watson Health. Clinical AI for cardiovascular prediction, 2021.on, 2021.

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Published

2025-11-15

Issue

Vol. 3 No. 36 (2025): INTERDISCIPLINE INNOVATION AND SCIENTIFIC RESEARCH CONFERENCE

Section

Articles