Artificial intelligence CAD tools in trauma imaging: a scoping review from the American Society of Emergency Radiology (ASER) AI/ML Expert Panel.

Journal: Emergency radiology
Published Date:

Abstract

BACKGROUND: AI/ML CAD tools can potentially improve outcomes in the high-stakes, high-volume model of trauma radiology. No prior scoping review has been undertaken to comprehensively assess tools in this subspecialty.

Authors

  • David Dreizin
    From the Emergency and Trauma Imaging, Department of Diagnostic Radiology and Nuclear Medicine (D.D.), R Adams Cowley Shock Trauma Center, School of Medicine, University of Maryland; Department of Computer Science (Y.Z.), Center for Cognition Vision and Learning, Johns Hopkins University; Diagnostic Radiology and Nuclear Medicine (T.C., G.L.), University of Maryland School of Medicine; Department of Computer Science (A.L.Y.), Center for Cognition Vision and Learning, Johns Hopkins University; Vascular Surgery (A.M., J.J.M.), R Adams Cowley Shock Trauma Center, University of Maryland School of Medicine, Baltimore, Maryland.
  • Pedro V Staziaki
    Department of Radiology, Boston Medical Center, Boston University School of Medicine, Boston, MA, USA.
  • Garvit D Khatri
    Department of Radiology, University of Washington School of Medicine, Seattle, WA, USA.
  • Nicholas M Beckmann
    Memorial Hermann Orthopedic & Spine Hospital, McGovern Medical School at UTHealth, Houston, TX, USA.
  • Zhaoyong Feng
    Epidemiology & Public Health, University of Maryland School of Medicine, Baltimore, MD, USA.
  • Yuanyuan Liang
    Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore.
  • Zachary S Delproposto
    Division of Emergency Radiology, Department of Radiology, University of Michigan, Ann Arbor, MI, USA.
  • Maximiliano Klug
    Department of Diagnostic Imaging, Sheba Medical Center, Emek HaEla St 1, Ramat Gan, Israel.
  • J Stephen Spann
    Department of Radiology, University of Alabama at Birmingham Heersink School of Medicine, Birmingham, AL, USA.
  • Nathan Sarkar
    University of Maryland School of Medicine, Baltimore, MD, USA.
  • Yunting Fu
    Health Sciences and Human Services Library, University of Maryland, Baltimore, Baltimore, MD, USA.