Utomated Diagnostics Based on Artificial Intelligence: Medical Image Analysis and Early Diagnosis Technologies
Year: 2025
Type: conference-paper
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.
Authors: Turdimuratov Baxtiyor Kurbonovich, Boymurodova Mohlaroyim Qahramon qizi
Language: English
Topic: AI in cancer detection
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7108707450
FWCI:
Cites:
Cited by:
Related to: