Validation of a Pretrained Artificial Intelligence Model for Pancreatic Cancer Detection on Diagnosis and Prediagnosis Computed Tomography Scans.

Journal: Investigative radiology
Published Date:

Abstract

PURPOSE: To evaluate PANCANAI, a previously developed AI model for pancreatic cancer (PC) detection, on a longitudinal cohort of patients. In particular, aiming for PC detection on scans acquired before histopathologic diagnosis was assessed.

Authors

  • Laura Degand
    Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark (L.D., D.P., P.C., S.B.); Guerbet Research, Villepinte, France (C.A.N., A.B., R.V., M.M.R.); Department of Health Technology, Technical University of Denmark (DTU), Kongens Lyngby, Denmark (F.D.M.).
  • Clément Abi-Nader
  • Alexandre Bône
    Guerbet Research, Villepinte.
  • Rebeca Vetil
  • Davide Placido
    NNF Center for Protein Research, University of Copenhagen, Copenhagen, Denmark.
  • Piotr Chmura
  • Marc-Michel Rohe
  • Federico De Masi
    Department of Bio and Health Informatics, DTU Bioinformatics, Technical University of Denmark, Lyngby, 2800, Denmark.
  • Søren Brunak
    NNF Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark.

Keywords

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