METHODS FOR OPTIMIZING MEDICAL DATA PROCESSING BASED ON ARTIFICIAL INTELLIGENCE

Authors

  • Nurimov P.B Kokand Universiteti Andijon filiali
  • Yesbergenov H.S Kokand Universiteti Andijon filiali
  • Aytmuratov B.Sh Kokand Universiteti Andijon filiali

Keywords:

Bugungi kunda tibbiyot sohasida har kuni katta hajmdagi ma'lumotlar to‘planmoqda. Bu ma'lumotlarni samarali tahlil qilish, diagnostika va davolash sifatini yaxshilash imkoniyatlarini kengaytiradi. Sun'iy intellekt, xususan, mashinali o‘qitish (MO) va tabiiy tilni qayta ishlash (NLP) texnologiyalari ushbu ma'lumotlarni optimallashtirishda muhim vositalarga aylandi.

Abstract

In the modern medical system, the need for rapid and accurate analysis of patient data is increasing. The use of artificial intelligence (AI) technologies plays an important role in fulfilling these tasks. This article analyzes AI algorithms used to optimize clinical data processing in the medical field, their effectiveness and application prospects.

References

Rajkomar A., Dean J., Kohane I. Machine learning in medicine. New England Journal of Medicine. – 2019. – Vol. 380. – P. 1347-1358.

Nadkarni P. M., Ohno-Machado L., Chapman W. W. Natural language processing: an introduction. Journal of the American Medical Informatics Association. – 2011. – Vol. 18(5). – P. 544-551.

Litjens G., Kooi T., Bejnordi B. E., et al. A survey on deep learning in medical image analysis. Medical Image Analysis. – 2017. – Vol. 42. – P. 60-88.

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Published

2025-06-16

How to Cite

METHODS FOR OPTIMIZING MEDICAL DATA PROCESSING BASED ON ARTIFICIAL INTELLIGENCE. (2025). Universal International Scientific Journal, 2(4.5), 959-960. https://universaljurnal.uz/index.php/jurnal/article/view/2659