Artificial Intelligence in Radiology: Enhancing Diagnostic Accuracy
Received Date: Jul 02, 2024 / Published Date: Jul 30, 2024
Abstract
Artificial Intelligence (AI) has increasingly become a transformative force in radiology, promising enhanced diagnostic accuracy, streamlined workflows, and improved patient outcomes. This review explores the various applications of AI in radiology, the benefits it offers, and the challenges that accompany its integration into clinical practice. We aim to provide a comprehensive overview of current AI technologies in radiology, assess their impact on diagnostic performance, and discuss future directions for AI research in this field.
Citation: Angeliki A (2024) Artificial Intelligence in Radiology: Enhancing DiagnosticAccuracy. OMICS J Radiol 13: 586.
Copyright: © 2024 Angeliki A. This is an open-access article distributed under theterms of the Creative Commons Attribution License, which permits unrestricteduse, distribution, and reproduction in any medium, provided the original author andsource are credited.
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