Generative Artificial Intelligence for Chest Radiograph Interpretation in the Emergency Department.

Journal: JAMA network open
PMID:

Abstract

IMPORTANCE: Multimodal generative artificial intelligence (AI) methodologies have the potential to optimize emergency department care by producing draft radiology reports from input images.

Authors

  • Jonathan Huang
    Department of Neurological Surgery, Northwestern University Feinberg School of Medicine, Division of Pediatric Neurosurgery, Ann and Robert H. Lurie Children's Hospital, Chicago, Illinois, USA.
  • Luke Neill
    Department of Emergency Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
  • Matthew Wittbrodt
    Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, USA.
  • David Melnick
    Northwestern Medicine, Chicago, IL, USA.
  • Matthew Klug
    Research & Development, Northwestern Medicine Information Services, Chicago, Illinois.
  • Michael Thompson
    Childrens Healthcare of Atlanta.
  • John Bailitz
    1 John H. Stroger Hospital of Cook County, Chicago, Illinois, USA.
  • Timothy Loftus
    Department of Emergency Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
  • Sanjeev Malik
    Department of Emergency Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
  • Amit Phull
    Department of Emergency Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
  • Victoria Weston
    Department of Emergency Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
  • J Alex Heller
    From the School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta (O.T.I., M.B.P., A.Q.J., A.D., A.O.B.); Division of Cardiology (S.D., T.D.M., L.K.) and Department of Bioengineering and Therapeutic Sciences (S.R.), University of California, San Francisco; and Department of Anesthesiology and Department of Biomedical Engineering, Northwestern University, Chicago, IL (M.E., J.A.H.).
  • Mozziyar Etemadi
    From the School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta (O.T.I., M.B.P., A.Q.J., A.D., A.O.B.); Division of Cardiology (S.D., T.D.M., L.K.) and Department of Bioengineering and Therapeutic Sciences (S.R.), University of California, San Francisco; and Department of Anesthesiology and Department of Biomedical Engineering, Northwestern University, Chicago, IL (M.E., J.A.H.).