THE ROLE OF ARTIFICIAL INTELLIGENCE IN MODERN MEDICAL DIAGNOSTICS

Authors

  • Sayyora Najimova

Keywords:

Artificial Intelligence, Medical Diagnostics, Machine Learning, Healthcare Technology, Clinical Decision Support, Medical Imaging, Predictive Analytics, Digital Health, Diagnostic Accuracy, Precision Medicine

Abstract

Artificial Intelligence (AI) is transforming the landscape of modern medical diagnostics by enhancing accuracy, speed, and accessibility of healthcare services. This article explores how AI technologies—such as machine learning, deep learning, and natural language processing—are being integrated into diagnostic systems to identify diseases ranging from cancer to cardiovascular conditions. The paper highlights real-world applications including AI-assisted imaging, pathology, and predictive analytics. Moreover, it discusses the benefits, such as reduced diagnostic errors and improved clinical workflows, while also addressing challenges related to data privacy, ethical considerations, and the need for robust validation. Ultimately, AI holds significant promise for augmenting physician capabilities and advancing precision medicine.

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Published

2025-05-17

How to Cite

THE ROLE OF ARTIFICIAL INTELLIGENCE IN MODERN MEDICAL DIAGNOSTICS. (2025). Journal of Academic Research and Trends in Educational Sciences, 4(2), 137-141. https://ijournal.uz/index.php/jartes/article/view/2278

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