A Deep Learning Model to Detect Acute MCA Occlusion on High Resolution Non-Contrast Head CT.

Journal: AJNR. American journal of neuroradiology
Published Date: Aug 8, 2025

Abstract

BACKGROUND AND PURPOSE: To assess the feasibility and accuracy of a deep learning (DL) model to identify acute middle cerebral artery (MCA) occlusion using high resolution non-contrast CT (NCCT) imaging data.

Authors

  • David A Fussell
    Department of Radiological Sciences, University of California, Irvine, Irvine, CA 92868, United States.
  • Jasmine L Lopez
    From the Department of Radiology (D.A.F., J.L.L., P.D.C.), University of California, Irvine, Irvine, CA, USA.
  • Peter D Chang
    Department of Radiological Sciences and Center for Artificial Intelligence in Diagnostic Medicine, University of California Irvine, Orange, California.

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