Diagnostic Accuracy and Failure Mode Analysis of a Deep Learning Algorithm for the Detection of Cervical Spine Fractures.

Journal: AJNR. American journal of neuroradiology
Published Date: Jun 11, 2021

Abstract

BACKGROUND AND PURPOSE: Artificial intelligence decision support systems are a rapidly growing class of tools to help manage ever-increasing imaging volumes. The aim of this study was to evaluate the performance of an artificial intelligence decision support system, Aidoc, for the detection of cervical spinal fractures on noncontrast cervical spine CT scans and to conduct a failure mode analysis to identify areas of poor performance.

Authors

  • A F Voter
    School of Medicine and Public Health (A.F.V.), University of Wisconsin-Madison, Madison, Wisconsin.
  • M E Larson
    Department of Radiology (M.E.L., J.W.G., J.-P.J.Y.), University of Wisconsin-Madison, Madison, Wisconsin.
  • J W Garrett
    Department of Radiology (M.E.L., J.W.G., J.-P.J.Y.), University of Wisconsin-Madison, Madison, Wisconsin.
  • J-P J Yu
    Department of Radiology (M.E.L., J.W.G., J.-P.J.Y.), University of Wisconsin-Madison, Madison, Wisconsin jpyu@uwhealth.org.

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