Artificial intelligence: a critical review of current applications in pancreatic imaging.

Journal: Japanese journal of radiology
Published Date: Feb 6, 2021

Abstract

The applications of artificial intelligence (AI), including machine learning and deep learning, in the field of pancreatic disease imaging are rapidly expanding. AI can be used for the detection of pancreatic ductal adenocarcinoma and other pancreatic tumors but also for pancreatic lesion characterization. In this review, the basic of radiomics, recent developments and current results of AI in the field of pancreatic tumors are presented. Limitations and future perspectives of AI are discussed.

Authors

  • Maxime Barat
    Radiology Department, Hopital Cochin - AP-HP. Centre Université de Paris, 27 Rue du Faubourg Saint-Jacques, Paris 75014, France; Université de Paris, 85 boulevard Saint-Germain, Paris 75006, France.
  • Guillaume Chassagnon
    Department of Radiology, Hopital Cochin, APHP, 75014 Paris, France; Université Paris Cité, 75006 Paris, France.
  • Anthony Dohan
    Department of Diagnostic Radiology, McGill University, Montreal, QC, Canada.
  • Sébastien Gaujoux
    Université de Paris, Descartes-Paris 5, 75006, Paris, France.
  • Romain Coriat
    Université de Paris, Descartes-Paris 5, 75006, Paris, France.
  • Christine Hoeffel
    Department of Radiology, Robert Debré Hospital, 51092, Reims, France.
  • Christophe Cassinotto
    Department of RadiologySt-Eloi University HospitalMontpellierFrance.
  • Philippe Soyer
    Department of Radiology, Hôpital Cochin-APHP, 27 Rue du Faubourg Saint-Jacques, Paris 75014, France.

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