PROSPECTS OF HISTOLOGICAL IMAGE ANALYSIS USING ARTIFICIAL INTELLIGENCE

Authors

  • Salomov Shokhabbos Nozimjon ugli,Aliyev Husniddin Makhmudovich Student of Andijan State Medical Institute, Academic Supervisor Department of the ,, Medical biology and histology “, Andijan State medical institute, Uzbekistan

Keywords:

artificial intelligence, histology, digital pathology, image analysis, deep learning, neural networks, diagnosis

Abstract

The integration of artificial intelligence (AI) into histology has transformed the field of diagnostic and research pathology. Through advanced algorithms, particularly those based on deep learning and convolutional neural networks, AI systems can recognize, classify, and quantify microscopic tissue structures with accuracy comparable to that of expert pathologists. This technological evolution enhances diagnostic precision, speeds up workflow, and reduces human bias. Furthermore, AI-driven histological analysis contributes to early disease detection, tumor grading, and quantitative morphometric assessment. The current paper discusses the structure, applications, and future perspectives of AI in histological image interpretation and its potential to revolutionize biomedical science.

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Published

2025-10-28

How to Cite

Salomov Shokhabbos Nozimjon ugli,Aliyev Husniddin Makhmudovich. (2025). PROSPECTS OF HISTOLOGICAL IMAGE ANALYSIS USING ARTIFICIAL INTELLIGENCE. Journal of Applied Science and Social Science, 15(10), 1418–1421. Retrieved from https://www.internationaljournal.co.in/index.php/jasass/article/view/2246

Issue

Vol. 15 No. 10 (2025): Volume 15 Issue 10

Section

Articles

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