ARTIFICIAL INTELLIGENCE IN HISTOLOGY: DIGITAL ANALYSIS AND AUTOMATION IN DIAGNOSTICS

Authors

  • Fazliddin Arzikulov Assistant, Department of the "Biomedical Engineering, Informatics and Biophysics", Tashkent Medical academy. Tashkent, Uzbekistan Author
  • Komiljonov Azizbek Student of Tashkent medical academy, Tashkent, Uzbekistan Author

Keywords:

Artificial intelligence, digital pathology, machine learning, histological image, diagnostics, automation, segmentation.

Abstract

In recent years, the application of artificial intelligence (AI) and digital technologies in medicine, particularly in histology, has radically transformed the diagnostic process. This article comprehensively highlights the role of AI in automatic analysis of histological images, cell segmentation, tumor detection, and early diagnosis of diseases. The advantages of digital pathology and machine learning technologies in clinical diagnostics, their contribution to reducing errors, and increasing efficiency are analyzed.

Published

2025-05-24

Issue

Vol. 1 No. 2 (2025)

Section

Articles

License

Creative Commons License

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

How to Cite

ARTIFICIAL INTELLIGENCE IN HISTOLOGY: DIGITAL ANALYSIS AND AUTOMATION IN DIAGNOSTICS. (2025). Modern American Journal of Medical and Health Sciences, 1(2), 140-142. https://usajournals.org/index.php/1/article/view/170

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