Artificial intelligence in hepatocellular carcinoma diagnosis: a comprehensive review of current literature.

Journal: Journal of gastroenterology and hepatology
Published Date: Jun 23, 2024

Abstract

BACKGROUND AND AIM: Hepatocellular carcinoma (HCC) diagnosis mainly relies on its pathognomonic radiological profile, obviating the need for biopsy. The project of incorporating artificial intelligence (AI) techniques in HCC aims to improve the performance of image recognition. Herein, we thoroughly analyze and evaluate proposed AI models in the field of HCC diagnosis.

Authors

  • Odysseas P Chatzipanagiotou
    First Department of Surgery, National and Kapodistrian University of Athens, Laikon General Hospital, Athens, Greece.
  • Constantinos Loukas
    Laboratory of Medical Physics, Medical School, National and Kapodistrian University of Athens, Athens, Greece. cloukas@med.uoa.gr.
  • Michail Vailas
    First Department of Surgery, National and Kapodistrian University of Athens, Laikon General Hospital, Athens, Greece.
  • Nikolaos Machairas
  • Stylianos Kykalos
    Second Department of Propaedeutic Surgery, National and Kapodistrian University of Athens, Laikon General Hospital, Athens, Greece.
  • Georgios Charalampopoulos
    Second Department of Radiology, National and Kapodistrian University of Athens, Attikon University Hospital, Athens, Greece.
  • Dimitrios Filippiadis
    Second Department of Radiology, National and Kapodistrian University of Athens, Attikon University Hospital, Athens, Greece.
  • Evangellos Felekouras
    First Department of Surgery, National and Kapodistrian University of Athens, Laikon General Hospital, Athens, Greece.
  • Dimitrios Schizas
    1st Department of Surgery, Laikon General Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece.

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