SUN’IY INTELLEKT TIBBIY XIZMATLAR SIFATINI OSHIRISHDA: MANBALAR ASOSIDA TAHLIL

Authors

  • To’lkinxo’jayeva Nilufarxon Rasuljon qizi Author
  • Abdurashidova Muxarramxon Sirojiddin Qizi Author

Keywords:

Sun`iy intelekt, rentgen nurlari, kompyuter tomografiyasi, diagnostika, Google Health, IBM Watson Health, shaxsiylashtirilgan davolash, robotik jarrohlik, Da Vinchi.

Abstract

Sun’iy intellekt (SI) texnologiyalari tibbiyot va diagnostika 
sohalarida tub o‘zgarishlarni yuzaga keltirib, tashxis qo‘yish, davolash jarayonlarini 
rejalashtirish hamda bemorlarni boshqarish samaradorligini oshirish uchun yangi 
imkoniyatlar yaratmoqda. Mazkur maqolada tibbiyotda sun’iy intellektning asosiy 
qo‘llanilish yo‘nalishlari tahlil qilinadi. Shuningdek, SI ning tezkor ma’lumotlarni 
qayta ishlash va yuqori aniqlik kabi afzalliklari bilan bir qatorda, axloqiy masalalar, 
inson omilining qisqarishi va texnologiyaga bog‘liqlik kabi mavjud cheklovlari ham 
muhokama etiladi.

References

1. Masharipov U. “SUN’IY INTELLEKTNING MEDITSINADAGI O‘RNI” Journal

of universal science research. Volume-3, Issue-4

2. https://mediapark.uz/

3. Xursanov Sh.U, Aliyev Sh.N. “TIBBIYOTDA SUN’IY INTELLEKTNING O‘RNI

VA AXAMIYATI” Journal of universal science research. VOLUME-2, ISSUE-12

4.

To‘xtaxo‘jaeva F.Sh., Imanova L.N. TIBBIY TASVIRLASHDA SUN’IY

INTELLEKT (SI)

5. Narzulloyeva F.Sh. SUN’IY INTELLEKTNING TIBBIYOTDAGI AHAMIYATI

Development of science Volume/ 4 ISSN 3030-3907

6. IBM Watson Health Reports (2024). “SI-Powered Medical Decision Support

Systems.”

7. Yala, A., Lehman, C., Schuster, T., Portnoi, T., & Barzilay, R. (2019). A deep

learning mammography-based model for improved breast cancer risk

prediction. Radiology, 292(1), 60-66.

8. Ardila, D., Kiraly, A. P., Bharadwaj, S., et al. (2019). End-to-end lung cancer

screening with three-dimensional deep learning on low-dose chest computed

tomography. Nature Medicine, 25(6), 954-961.

9. 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.

10. Ström, P., Kartasalo, K., Olsson, H., et al. (2020). Artificial intelligence for

diagnosis and grading of prostate cancer in biopsies: a population-based, diagnostic

study. The Lancet Oncology, 21(2), 222-232.

Published

2026-02-01

How to Cite

SUN’IY INTELLEKT TIBBIY XIZMATLAR SIFATINI OSHIRISHDA: MANBALAR ASOSIDA TAHLIL . (2026). ОБРАЗОВАНИЕ НАУКА И ИННОВАЦИОННЫЕ ИДЕИ В МИРЕ, 86(3), 455-460. https://journalss.org/index.php/obr/article/view/17361