AI Revolutionizing Radiology: Accuracy, Efficiency, and Ethics
*Corresponding Author:Received Date: Feb 03, 2025 / Published Date: Feb 28, 2025
Citation: Mehta R (2025) AI Revolutionizing Radiology: Accuracy, Efficiency, and Ethics. J Radiol 14: 649.DOI: 10.4172/2167-7964.1000649
Copyright: © 2025 R. Mehta This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
Abstract
Artificial intelligence (AI) is transforming radiology, enhancing diagnostic accuracy and workflow efficiency through machine learning. Deep learning algorithms show remarkable performance in image analysis for lesion detection, segmentation, and classification across various modalities. AI applications are emerging in pulmonary nodule detection, mammography, neuroimaging, and musculoskeletal radiology. It also optimizes departmental operations and aids precision medicine through radiomics. Ethical considerations, regulatory challenges, and robust validation are critical for successful integration into clinical practice.
