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Revolutionizing HCC diagnosis and staging: MRI protocol optimization meets AI
About this session
Dr. Saif Afat talks about the role of Artificial Intelligence (AI) on protocol optimization in improving Hepatocellular Carcinoma (HCC) lesion detection using MRI and staging using contrast-enhanced MRI. Real-world examples illustrate how AI is reshaping diagnostic workflows, increasing efficiency and improving patient outcomes by facilitating the detection of HCC lesions in high-risk patients.
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Saif Afat
University Hospital Tübingen, Tübingen, Germany
Liver Cancer Symposium
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The role of liver MRI in interventional radiology
Professor Max Seidensticker concludes the symposium with an innovative session on MRI-Guided Interventions.
New guidelines for new treatments in MASLD/MASH: how to diagnose and stage your patient
As metabolic-associated liver disease presents unique challenges in clinical management and is one of the main precursors of liver cancer, Professor Thomas Reiberger reviews updated guidelines on diagnosing and staging MASLD/MASH and explores critical tools and techniques for non-invasive assessments and advanced imaging markers.