Artificial intelligence in emergency and trauma radiology: ASER AI/ML expert panel Delphi consensus statement on research guidelines, practices, and priorities.

Journal: Emergency radiology
PMID: 39714735

Abstract

BACKGROUND: Emergency/trauma radiology artificial intelligence (AI) is maturing along all stages of technology readiness, with research and development (R&D) ranging from data curation and algorithm development to post-market monitoring and retraining.

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.
  • Garvit Khatri
    Abdominal Imaging, Department of Radiology, University of Colorado, Denver, CO, USA.
  • Pedro V Staziaki
    Department of Radiology, Boston Medical Center, Boston University School of Medicine, Boston, MA, USA.
  • Karen Buch
    Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America.
  • Mathias Unberath
    Johns Hopkins University, Baltimore, MD, USA.
  • Mohammed Mohammed
    Department of Cardiology, Sahlgrenska University Hospital, Blå stråket 5, 413 45 Gothenburg, Sweden.
  • Aaron Sodickson
    Mass General Brigham Enterprise Emergency Radiology, Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA.
  • Bharti Khurana
    Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA bkhurana@bwh.harvard.edu.
  • Anjali Agrawal
    Teleradiology Solutions, 12B Sriram Road, Civil Lines, Delhi, 110054, India. anjali.agrawal@telradsol.com.
  • James Stephen Spann
    Department of Radiology, University of Alabama at Birmingham Heersink School of Medicine, Birmingham, AL, USA.
  • Nicholas Beckmann
    McGovern Medical School at UTHealth, Houston, USA.
  • Zachary DelProposto
    Division of Emergency Radiology, Department of Radiology, University of Michigan, Ann Arbor, MI, USA.
  • Christina A LeBedis
    Department of Radiology, Boston Medical Center, Boston, MA, USA.
  • Melissa Davis
    Department of Radiology, Yale University, New Haven, CT, USA.
  • Gabrielle Dickerson
    University of Maryland School of Medicine, Baltimore, MD, USA.
  • Michael Lev
    Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA.

Keywords

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