THE ROLE OF ARTIFICIAL INTELLIGENCE IN TUMOR DIAGNOSIS

Authors

  • Don Andrey Nikolaevich Doctor of Medical Sciences, Associate Professor. Tashkent State Medical University.
  • Doniyorova Komila a third-year student at Tashkent International University in Kimyo, Uzbekistan
  • Royfe Milana a third-year student at Tashkent International University in Kimyo, Uzbekistan

DOI:

https://doi.org/10.37547/

Keywords:

Artificial intelligence, tumor diagnostics, oncology, machine learning, medical imaging.

Abstract

Artificial intelligence is becoming an important tool in tumor diagnostics, increasing the accuracy and speed of early-stage pathology detection. Machine learning algorithms can analyze medical images and large clinical data sets, reducing the likelihood of diagnostic errors and assisting physicians in decision-making. The use of such technologies is particularly relevant given the rising incidence of cancer and the time constraints of specialists. This article examines the current capabilities of artificial intelligence in cancer diagnostics, its advantages and limitations, and the prospects for its implementation in clinical practice.

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References

1. Popov G. V., Chub A. A., Lerner Yu. V., et al. Artificial Intelligence in the Diagnosis of Prostate Cancer. Archive of Pathology. 2021;83(3):38–45. https://pubmed.ncbi.nlm.nih.gov/33822553/

2. Vasilyev A. O. et al. Artificial Intelligence in the Early Diagnosis of Prostate Cancer. Experimental and Clinical Urology. 2025;18(1):42–49https://ecuro.ru/node/6315

3. Adhamzhanova M. A. Kizi. The Role of AI in the Early Diagnosis of Oncological Diseases. Education, Science, and Innovative Ideas in the World. 2025. https://journalss.org/index.php/obr/article/view/13377

4. Isroilov U. B. et al. Artificial Intelligence in the Early Diagnosis of Oncological Diseases. Multidisciplinary Journal of Science and Technology. 2025. https://www.mjstjournal.com/index.php/mjst/article/view/3646

5. Musaeva F. T. et al. The Role of Artificial Intelligence and New Imaging Methods in the Early Diagnosis of Pancreatic Cancer. Digital Diagnostics. 2025. https://journals.rcsi.science/DD/article/view/310218/ru_RU.

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Published

2026-05-11

How to Cite

THE ROLE OF ARTIFICIAL INTELLIGENCE IN TUMOR DIAGNOSIS. (2026). International Bulletin of Medical Sciences and Clinical Research, 6(5), 25-27. https://doi.org/10.37547/

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