External COVID-19 Deep Learning Model Validation on ACR AI-LAB: It's a Brave New World.

Journal: Journal of the American College of Radiology : JACR
Published Date: Apr 8, 2022

Abstract

PURPOSE: Deploying external artificial intelligence (AI) models locally can be logistically challenging. We aimed to use the ACR AI-LAB software platform for local testing of a chest radiograph (CXR) algorithm for COVID-19 lung disease severity assessment.

Authors

  • Ali Ardestani
    Department of Radiology, Lahey Hospital and Medical Center, Tufts Medical School, Burlington, Massachusetts.
  • Matthew D Li
    Department of Radiology, Harvard Medical School/Massachusetts General Hospital, Boston, Massachusets.
  • Pauley Chea
    Division of Musculoskeletal Imaging and Intervention, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. pauleyc@gmail.com.
  • Jeremy R Wortman
    Vice Chair, Research and Radiology Residency Program Director, Department of Radiology, Lahey Hospital and Medical Center, Tufts Medical School, Burlington, Massachusetts.
  • Adam Medina
    Department of Radiology, Lahey Hospital and Medical Center, Tufts Medical School, Burlington, Massachusetts.
  • Jayashree Kalpathy-Cramer
    Department of Radiology, MGH/Harvard Medical School, Charlestown, Massachusetts.
  • Christoph Wald
    Chairman, Department of Radiology at Lahey Hospital & Medical Center, Professor of Radiology, Tufts University Medical School; Chair of the ACR Informatics Commission.

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