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Advancing Radiology Reporting: AI, Standardization, and Communication

Dr. Min-Jae Park^*

Department of Clinical Case Imaging, Busan Medical University, Korea

Received Date: Jul 01, 2025 / Published Date: Jul 29, 2025

Citation: Park DM (2025) Advancing Radiology Reporting: AI, Standardization, and Communication. J Radiol 14: 711.DOI: 10.4172/2167-7964.1000711

Copyright: © 2025 Dr. Min-Jae Park 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

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This review synthesizes recent advancements in radiology reporting, emphasizing standardized terminologies, structured reports, and the integration of AI to enhance diagnostic accuracy and efficiency. It explores challenges and opportunities in AI implementation, the impact of structured reporting, and best practices for clear communication. The importance of accurate documentation, the utility of NLP, standardized reporting of incidental findings, automated report generation, patient-centered communication, and quantitative imaging biomarkers are also discussed, all aimed at improving patient care.

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