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Advancements in Liver Lesion Imaging and AI

Dr. Omar Khaled^*

Department of Hepatic Imaging, King Saud University, Saudi Arabia

Received Date: Jun 03, 2025 / Published Date: Jun 30, 2025

Citation: Khaled DO (2025) Advancements in Liver Lesion Imaging and AI. J Radiol 14: 701.DOI: 10.4172/2167-7964.1000701

Copyright: © 2025 Dr. Omar Khaled 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 collection of research highlights advancements in liver imaging for the characterization of focal lesions and hepatocellular carcinoma (HCC). Techniques such as multiparametric MRI, quantitative diffusion-weighted imaging (DWI), and contrast-enhanced ultrasound (CEUS) are crucial for differentiating benign from malignant lesions. The integration of artificial intelligence (AI) and radiomics promises to enhance diagnostic accuracy and workflow efficiency. Standardization of imaging protocols is emphasized for reliable diagnosis and research. Imaging surveillance for HCC in high-risk patients remains a critical focus.

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