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

Authors
  • Barat, Maxime1, 2
  • Chassagnon, Guillaume1, 2
  • Dohan, Anthony1, 2
  • Gaujoux, Sébastien2, 3
  • Coriat, Romain2, 3
  • Hoeffel, Christine4
  • Cassinotto, Christophe5
  • Soyer, Philippe1, 2
  • 1 Hopital Cochin, Assistance Publique-Hopitaux de Paris, 27 Rue du Faubourg Saint-Jacques, Paris, France , Paris (France)
  • 2 Université de Paris, Descartes-Paris 5, Paris, 75006, France , Paris (France)
  • 3 Hopital Cochin, Assistance Publique-Hopitaux de Paris, Paris, 75014, France , Paris (France)
  • 4 Robert Debré Hospital, Reims, 51092, France , Reims (France)
  • 5 CHU Montpellier, University of Montpellier, Saint-Éloi Hospital, Montpellier, 34000, France , Montpellier (France)
Type
Published Article
Journal
Japanese Journal of Radiology
Publisher
Springer Singapore
Publication Date
Feb 06, 2021
Volume
39
Issue
6
Pages
514–523
Identifiers
DOI: 10.1007/s11604-021-01098-5
Source
Springer Nature
Keywords
License
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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.

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