Vol. 3 No. 10 (2025), Articles
Vol. 3 No. 10 (2025)

UTOMATED DIAGNOSTICS BASED ON ARTIFICIAL INTELLIGENCE: MEDICAL IMAGE ANALYSIS AND EARLY DIAGNOSIS TECHNOLOGIES

Articles
Published 2025-12-03
Turdimuratov Baxtiyor
Tashkent State Dental University, Termiz Branch Lecturer, Department of Social and Humanitarian Sciences
Boymurodova Mohlaroyim
Tashkent State Dental University, Termiz Branch Faculty of Pediatrics, Pharmacy Department Student
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Keywords

artificial intelligence, medical imaging, CNN, automated diagnostics, radiology, early cancer detection.

How to Cite

UTOMATED DIAGNOSTICS BASED ON ARTIFICIAL INTELLIGENCE: MEDICAL IMAGE ANALYSIS AND EARLY DIAGNOSIS TECHNOLOGIES. (2025). MEDICINE, PEDAGOGY AND TECHNOLOGY: THEORY AND PRACTICE, 3(10), 177-181. https://universalpublishings.com/index.php/mpttp/article/view/14870
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Abstract

This article examines the application of artificial intelligence (AI) and deep learning methods in automated medical diagnostics, with a particular focus on radiology, medical imaging, and early cancer detection. AI-based image analysis significantly increases diagnostic accuracy, reduces human error, and enables the early identification of life-threatening diseases. Convolutional neural networks (CNNs), computer vision algorithms, and automated decision-support systems are analyzed in detail. The results show that AI-assisted diagnostics can improve detection rates of lung, breast, and colorectal cancers and serve as an effective tool for radiologists.

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References

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