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Hindi Imaging Informatics: AI, Data, Interoperability, Cloud, Future
*Corresponding Author: Dr. Laura Sánchez, Department of Imaging Informatics, University of Barcelona, Spain, Email: l.sanchez@imginfo.esReceived Date: Jun 03, 2025 / Published Date: Jun 30, 2025
Citation: Sánchez DL (2025) Imaging Informatics: AI, Data, Interoperability, Cloud, Future. J Radiol 14: 697.DOI: 10.4172/2167-7964.1000697
Copyright: © 2025 Dr. Laura Sánchez 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
Imaging informatics is undergoing rapid transformation driven by AI, ML, and advanced data management strategies. This includes enhancing image analysis, optimizing workflows, and improving diagnostic support. Key areas of focus are interoperability, cybersecurity, and the implementation of next-generation systems like PACS. Emerging trends in radiomics, NLP, cloud computing, and personalized medicine are poised to further revolutionize radiology, emphasizing the need for continuous adaptation and responsible innovation in this dynamic field.
