Vol. 8 No. 2 (2026), Series C
Vol. 8 No. 2 (2026)

ZAMONAVIY TIBBIYOTDA INNOVATSION TEXNOLOGIYALAR

Series C
Published 2026-03-18
Rustamova Ra’no Parpievna
Mirzo Ulugʻbek nomidagi O‘zbekiston Milliy universiteti Ekologiya kafedrasi dotsenti
Ismailova Arofat Mirzaxidovna
Mirzo Ulugʻbek nomidagi O‘zbekiston Milliy universiteti Ekologiya kafedrasi katta o'qituvchisi
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Keywords

innovatsion texnologiyalar, sun'iy intellekt, telemedisinа, raqamli tibbiyot, robototexnika, diagnostika, sog'liqni saqlash.

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ZAMONAVIY TIBBIYOTDA INNOVATSION TEXNOLOGIYALAR. (2026). Qo‘qon DPI. Ilmiy Xabarlar Jurnali, 8(2), 707-711. https://doi.org/10.70728/c.series.v08.i02.102
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Abstract

Ushbu maqolada zamonaviy tibbiyotda qo'llanilayotgan innovatsion texnologiyalar — sun'iy intellekt, raqamli diagnostika tizimlari, telemedisinа va robototexnika — ilmiy adabiyotlar tahlili asosida ko'rib chiqilgan. Tadqiqot maqsadi mazkur texnologiyalarning klinik amaliyotga integratsiyasi natijasida yuzaga keladigan o'zgarishlarni aniqlash va ularning tibbiy xizmat sifatiga ta'sirini baholashdan iborat. Tahlil shuni ko'rsatadiki, innovatsion texnologiyalar diagnostika aniqligini sezilarli darajada oshirmoqda, biroq ularni joriy etishda iqtisodiy, etik va kadrlar tayyorlash kabi muammolar mavjud bo'lib qolmoqda.

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References

1. Topol E.J. High-performance medicine: the convergence of human and artificial intelligence // Nature Medicine. — 2019. — Vol. 25. — P. 44–56.

2. World Health Organization. Global strategy on digital health 2020–2025. — Geneva: WHO, 2021. — 56 p.

3. Axmedov A.A., Raximov B.S. O'zbekistonda raqamli sog'liqni saqlash tizimini rivojlantirish istiqbollari // O'zbekiston tibbiyot jurnali. — 2022. — № 4. — B. 12–19.

4. Char D.S., Shah N.H., Magnus D. Implementing Machine Learning in Health Care — Addressing Ethical Challenges // New England Journal of Medicine. — 2018. — Vol. 378. — P. 981–983.

5. Topol E.J. Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again. — New York: Basic Books, 2019. — 378 p.

6. Шляхто Е.В., Конради А.О. Искусственный интеллект в кардиологии: настоящее и будущее // Российский кардиологический журнал. — 2020. — № 25(7). — С. 3899.

7. Bashshur R.L., Shannon G.W., Krupinski E.A. Sustaining and Realizing the Promise of Telemedicine // Telemedicine and e-Health. — 2019. — Vol. 25. — P. 159–161.

8. Marescaux J., Leroy J., Gagner M. et al. Transatlantic robot-assisted telesurgery // Nature. — 2001. — Vol. 413. — P. 379–380.

9. Tian Q., Price N.D., Hood L. Systems cancer medicine: towards realization of predictive, preventive, personalized and participatory (P4) medicine // Journal of Internal Medicine. — 2012. — Vol. 271. — P. 111–121.

10. Eurohealth Analytics Group. Digital Health Integration in European Healthcare Systems: Comparative Analysis 2018–2023. — Brussels: European Observatory on Health Systems, 2023. — 112 p.

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