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Modern applications of artificial intelligence in clinical diagnostics

Asrorbek YuldashevGraduate student at the National University of UzbekistanМирсаид АриповProfessor at the National University of Uzbekistan
2026en
ABI

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This article discusses the modern applications of artificial intelligence in clinical diagnostics. Artificial intelligence technologies such as Machine Learning and Deep Learning are widely used in disease detection and medical image analysis. The study examines the advantages of AI, including high diagnostic accuracy, rapid data processing, and reduction of human errors. The role of intelligent systems in radiology, cardiology, and oncology is also analyzed. In addition, the article highlights challenges related to data security, ethical issues, and technical limitations. International experiences in the implementation of AI in healthcare are reviewed. The research concludes that artificial intelligence is becoming an important component of modern clinical diagnostics.

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