SUN'IY INTELLEKT VA ULTRATOVUSH DIAGNOSTIKASI: HOMILA RIVOJLANISHIDAGI O'ZGARISHLARNI ERTA ANIQLASHNING ZAMONAVIY IMKONIYATLARI

SUN'IY INTELLEKT VA ULTRATOVUSH DIAGNOSTIKASI: HOMILA RIVOJLANISHIDAGI O'ZGARISHLARNI ERTA ANIQLASHNING ZAMONAVIY IMKONIYATLARI

Authors

  • Sitora Diniqulova Abdullayevna Zomin Abu Ali ibn Sino nomidagi jamoat salomatligi texnikumi Akusherlik va ginikologiya fani o’qituvchisi.

Keywords:

Homila biometrik ko'rsatkichlarini baholashda sun'iy intellekt (AI) va mashinaga o'qitish (Machine Learning) algoritmlarining diagnostik samaradorligini baholash.

Abstract

Zamonaviy akusherlik amaliyotida homila rivojlanish nuqsonlari va homila ichi o'sishidan orqada qolishni (IUGR) erta bosqichda aniqlash perinatal kasallanish va o'lish ko'rsatkichlarini kamaytirishda hal qiluvchi ahamiyat kasb etadi. An'anaviy ultratovush diagnostikasi mutaxassisning subyektiv omiliga bog'liq bo'lib, xatolar ehtimolini saqlab qoladi.

References

Arulkumaran S., et al. Artificial Intelligence in Modern Obstetrics and Gynecology. Lancet Digital Health, 2024; 6(3): e140-e148.

World Health Organization (WHO). Recommendations on digital interventions for health system strengthening. Geneva: WHO, 2025.

Karimov M.Sh., et al. "The role of modern ultrasound diagnostics in pregnancy." Uzbekistan Medical Journal, 2025, Issue 4, pp. 45-49.

Smith J.D., et al. Machine Learning applications in fetal biometry and growth restriction prediction. Ultrasound in Obstetrics & Gynecology, 2024; 63(2): 210-218.

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Published

2026-09-01
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