THE IMPORTANCE OF ARTIFICIAL INTELLIGENCE IN THE DETECTION OF KIDNEY DISEASES MODERN APPROACHES AND PROSPECTS

Authors

  • Khalilov Hikmatulla Dilshod o`gly Tashkent Medical Academy Author
  • Shatursunova Madina Abdujamilovna Assistant Professor, Department of Normal and Pathological Physiology Author
  • Shukurov Umidjon Majid o`gly Assistant Professor, Department of Normal and Pathological Physiology 1,2 Author

Keywords:

artificial intelligence, kidney failure, neural networks

Abstract

Kidney diseases, especially chronic renal failure (CRF) and acute kidney injury (AKI), are one of the most important problems for the global healthcare system. Early detection and dynamic monitoring of these diseases allow improving outcomes and optimizing treatment strategies. Traditional diagnostic methods in many cases depend on the human factor, which increases the likelihood of error. The development of artificial intelligence (AI) technologies is creating opportunities for automation, accurate analysis, and data-based decision-making in medical diagnostics and disease prognosis. This article discusses AI-based methods for diagnosing kidney diseases, their advantages, limitations, and future prospects.

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Published

2025-04-18

Issue

Vol. 3 No. 04 (2025): WEJMESM

Section

Articles

License

Copyright (c) 2025 Western European Journal of Modern Experiments and Scientific Methods

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

How to Cite

THE IMPORTANCE OF ARTIFICIAL INTELLIGENCE IN THE DETECTION OF KIDNEY DISEASES MODERN APPROACHES AND PROSPECTS. (2025). Western European Journal of Modern Experiments and Scientific Methods, 3(04), 9-13. https://westerneuropeanstudies.com/index.php/1/article/view/2405

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