Enhancing ultrasonographic detection of hepatocellular carcinoma with artificial intelligence: current applications, challenges and future directions.

Journal: BMJ open gastroenterology
Published Date: Jul 1, 2025

Abstract

BACKGROUND: Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related mortality worldwide, with early detection playing a crucial role in improving survival rates. Artificial intelligence (AI), particularly in medical image analysis, has emerged as a potential tool for HCC diagnosis and surveillance. Recent advancements in deep learning-driven medical imaging have demonstrated significant potential in enhancing early HCC detection, particularly in ultrasound (US)-based surveillance.

Authors

  • Janthakan Wongsuwan
    Department of Biomedical Sciences and Biomedical Engineering, Faculty of Medicine, Prince of Songkla University, Hat Yai, Thailand.
  • Teeravut Tubtawee
    Division of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Sitang Nirattisaikul
    Division of Diagnostic Radiology, Department of Radiology, Faculty of Medicine, Prince of Songkla University, Hat Yai, Thailand.
  • Pojsakorn Danpanichkul
    Immunology Unit, Department of Microbiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
  • Wisit Cheungpasitporn
    Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA.
  • Sitthichok Chaichulee
    Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, United Kingdom. Author to whom any correspndence should be addressed.
  • Apichat Kaewdech
    Gastroenterology and Hepatology Unit, Division of Internal Medicine, Faculty of Medicine, Prince of Songkla University, Hat Yai, Thailand.

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