Performance of explainable artificial intelligence in guiding the management of patients with a pancreatic cyst.

Journal: Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.]
PMID:

Abstract

BACKGROUND/OBJECTIVES: Pancreatic cyst management can be distilled into three separate pathways - discharge, monitoring or surgery- based on the risk of malignant transformation. This study compares the performance of artificial intelligence (AI) models to clinical care for this task.

Authors

  • Juan M Lavista Ferres
    AI for Good Research Lab, Microsoft, Redmond, WA, United States of America.
  • Felipe Oviedo
    Nanite, Inc., Boston, Massachusetts 02109, USA. jeff@nanitebio.com.
  • Caleb Robinson
    AI for Good Research Lab, Microsoft, Redmond, WA, United States of America.
  • Linda Chu
    Department of Radiology, Johns Hopkins University, 1800 Orleans Street, Baltimore, MD, 21287, USA.
  • Satomi Kawamoto
    The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Elham Afghani
    Department of Medicine, Johns Hopkins University, 1800 Orleans Street, Baltimore, MD, 21287, USA.
  • Jin He
  • Alison P Klein
    Department of Medicine, Johns Hopkins University, 1800 Orleans Street, Baltimore, MD, 21287, USA; Sidney Kimmel Comprehensive Cancer Center, Department of Oncology, Johns Hopkins University, 1800 Orleans Street, Baltimore, MD, 21287, USA; The Sol Goldman Pancreatic Cancer Research Center, Department of Pathology, Johns Hopkins University, 1800 Orleans Street, Baltimore, MD, 21287, USA.
  • Mike Goggins
    The Sol Goldman Pancreatic Cancer Research Center, Department of Pathology, Johns Hopkins University, 1800 Orleans Street, Baltimore, MD, 21287, USA.
  • Christopher L Wolfgang
    Department of Surgery, The Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Ammar A Javed
    Department of Surgery, New York University Grossman School of Medicine, New York, NY, 10016, USA.
  • Rahul Dodhia
    AI for Good Research Lab, Microsoft, Redmond, Washington 98052, USA.
  • Nick Papadopolous
    Sidney Kimmel Comprehensive Cancer Center, Department of Oncology, Johns Hopkins University, 1800 Orleans Street, Baltimore, MD, 21287, USA; Ludwig Center and Howard Hughes Medical Institute at the Sidney Kimmel Cancer Center, Johns Hopkins University, 1800 Orleans Street, Baltimore, MD, 21287, USA.
  • Ken Kinzler
    Sidney Kimmel Comprehensive Cancer Center, Department of Oncology, Johns Hopkins University, 1800 Orleans Street, Baltimore, MD, 21287, USA; Ludwig Center and Howard Hughes Medical Institute at the Sidney Kimmel Cancer Center, Johns Hopkins University, 1800 Orleans Street, Baltimore, MD, 21287, USA.
  • Ralph H Hruban
    Sol Goldman Pancreatic Cancer Research Center, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • William B Weeks
    AI for Good Lab, Microsoft Corporation, Redmond, WA, United States.
  • Elliot K Fishman
    The Russell H. Morgan Department of Radiology and Radiologic Science, Johns Hopkins School of Medicine, Baltimore, Maryland. Electronic address: efishman@jhmi.edu.
  • Anne Marie Lennon
    Department of Radiology, Johns Hopkins University, 1800 Orleans Street, Baltimore, MD, 21287, USA; Department of Medicine, Johns Hopkins University, 1800 Orleans Street, Baltimore, MD, 21287, USA; Department of Surgery, Johns Hopkins University, 1800 Orleans Street, Baltimore, MD, 21287, USA; Sidney Kimmel Comprehensive Cancer Center, Department of Oncology, Johns Hopkins University, 1800 Orleans Street, Baltimore, MD, 21287, USA; Ludwig Center and Howard Hughes Medical Institute at the Sidney Kimmel Cancer Center, Johns Hopkins University, 1800 Orleans Street, Baltimore, MD, 21287, USA. Electronic address: felipe.oviedo@microsoft.com.