Applications of Artificial Intelligence in the Automatic Diagnosis of Focal Liver Lesions: A Systematic Review.

Journal: Journal of gastrointestinal and liver diseases : JGLD
Published Date: Apr 1, 2023

Abstract

BACKGROUND AND AIMS: Focal liver lesions (FLLs) are defined as abnormal solid or liquid masses differentiated from normal liver, frequently being clinically asymptomatic. The aim of this systematic review is to provide a comprehensive overview of current artificial intelligence (AI) applications, deep learning systems and convolutional neural networks, capable of performing a completely automated diagnosis of FLLs.

Authors

  • Stefan Lucian Popa
    2 nd Department of Internal Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania. . popa.stefan@umfcluj.ro.
  • Simona Grad
    2 nd Department of Internal Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania. . costinsimona_m@yahoo.com.
  • Giuseppe Chiarioni
    Division of Gastroenterology B, AOUI Verona, Verona, Italy and Division of Gastroenterology and Hepatology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. chiarioni@alice.it.
  • Annalisa Masier
    Division of Gastroenterology, Department of Oncology, Veneto Institute of Oncology IOV - IRCCS, Padua, Italy. annalisa.masier@iov.veneto.it.
  • Giulia Peserico
    Division of Gastroenterology, Department of Oncology, Veneto Institute of Oncology IOV - IRCCS, Padua, Italy. giulia.peserico@iov.veneto.it.
  • Vlad Dumitru Brata
    Faculty of Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania. brata_vlad@yahoo.com.
  • Dinu Iuliu Dumitrascu
    Department of Anatomy, UMF Iuliu Hatieganu Cluj-Napoca, Cluj-Napoca, Romania. d.dumitrascu@yahoo.com.
  • Alberto Fantin
    Division of Gastroenterology, Department of Oncology, Veneto Institute of Oncology IOV - IRCCS, Padua, Italy. alberto.fantin@iov.veneto.it.

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