TIBBIY TASVIRLARNI TAHLIL QILISHDA MASHINAVIY O‘RGANISH VA SUN’IY INTELLEKTNING ROLI

R.Y.Mamajanov; R.Suyunova

TIBBIY TASVIRLARNI TAHLIL QILISHDA MASHINAVIY O‘RGANISH VA SUN’IY INTELLEKTNING ROLI

R.Y.Mamajanov

Denov tadbirkorlik va pedagogika instituti Axborot texnologiyalari kafedrasi mudiri t.f.n., dots.

R.Suyunova

Denov tadbirkorlik va pedagogika instituti 2-kurs magistri

##semicolon## medical image, machine learning, artificial intelligence, deep learning, segmentation, classification, CNN, diagnostics.

सार

This article scientifically analyzes the theoretical foundations, algorithmic approaches, and practical application areas of Machine Learning and Artificial Intelligence technologies in the process of medical image analysis (radiography, CT, MRI, ultrasound, etc.). The role of Convolutional Neural Networks (CNN), Deep Learning methods, as well as segmentation and classification algorithms in improving diagnostic accuracy is substantiated. In addition, the integration of Artificial Intelligence technologies into clinical decision support systems, along with their advantages and existing challenges, is examined.

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