The role of artificial intelligence and image processing in the diagnosis, treatment, and prognosis of liver cancer: a narrative-review.

Journal: Przeglad gastroenterologiczny
Published Date: Sep 18, 2024

Abstract

Artificial intelligence (AI) and image processing are revolutionising the diagnosis and management of liver cancer. Recent advancements showcase AI's ability to analyse medical imaging data, like computed tomography scans and magnetic resonance imaging, accurately detecting and classifying liver cancer lesions for early intervention. Predictive models aid prognosis estimation and recurrence pattern identification, facilitating personalised treatment planning. Image processing techniques enhance data analysis by precise segmentation of liver structures, fusion of information from multiple modalities, and feature extraction for informed decision-making. Despite progress, challenges persist, including the need for standardised datasets and regulatory considerations.

Authors

  • Platon Dimopoulos
    Department of Interventional Radiology, General University Hospital of Patras, Patras, Greece.
  • Admir Mulita
    Medical Physics Department, Democritus University of Thrace, University Hospital of Alexandroupolis, Alexandroupolis, Greece.
  • Andreas Antzoulas
    Department of Surgery, General University Hospital of Patras, Patras, Greece.
  • Sylvain Bodard
    Department of Radiology, University of Paris Cite, Necker Hospital, Paris, France.
  • Vasileios Leivaditis
    Department of Cardiothoracic and Vascular Surgery, Westpfalz Klinikum, Kaiserslautern, Germany.
  • Ioanna Akrida
    Department of Surgery, General University Hospital of Patras, Patras, Greece.
  • Nikolaos Benetatos
    Department of Surgery, General University Hospital of Patras, Patras, Greece.
  • Konstantinos Katsanos
    Department of Interventional Radiology, General University Hospital of Patras, Patras, Greece.
  • Christos-Nikolaos Anagnostopoulos
    Intelligent Systems Lab, Department of Cultural Technology and Communication, University of the Aegean, Mytilene, Greece.
  • Francesk Mulita
    Department of Surgery, General University Hospital of Patras, Patras, Greece.

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