The Potential Clinical Utility of an Artificial Intelligence Model for Identification of Vertebral Compression Fractures in Chest Radiographs.

Journal: Journal of the American College of Radiology : JACR
PMID:

Abstract

PURPOSE: To assess the ability of the Annalise Enterprise CXR Triage Trauma (Annalise AI Pty Ltd, Sydney, NSW, Australia) artificial intelligence model to identify vertebral compression fractures on chest radiographs and its potential to address undiagnosed osteoporosis and its treatment.

Authors

  • Ankita Ghatak
    Mass General Brigham AI, Boston, Massachusetts.
  • James M Hillis
    Digital Clinical Research Organization, Data Science Office, Mass General Brigham, Boston, Massachusetts.
  • Sarah F Mercaldo
    Massachusetts General Hospital, Boston, Massachusetts.
  • Isabella Newbury-Chaet
    Data Science Office, Mass General Brigham, Boston, Massachusetts.
  • John K Chin
    From the Department of Radiology, Brigham and Women's Hospital (BWH), Harvard Medical School, 75 Francis St, Boston, MA 02115 (C.R.W., D.I.G., K.P.A., B.D., W.W.M-S.); Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, Mass (J.P., C.P.B., J. Kalpathy-Cramer); Health Sciences and Technology Department, Massachusetts Institute of Technology, Cambridge, Mass (J.P.); Department of Radiology, Massachusetts General Hospital (MGH), Harvard Medical School, Boston, Mass (B.C.B., K.D.); and MGH & BWH Center for Clinical Data Science, Boston, Mass (B.C.B., C.P.B., K.P.A., J. K. Chin, K.D., J. Kalpathy-Cramer).
  • Subba R Digumarthy
    Massachusetts General Hospital, Department of Radiolgoy, United States.
  • Karen Rodriguez
    Harvard Medical School, Boston, Massachusetts, and Thoracic Fellowship Program Director, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts.
  • Victorine V Muse
    Department of Radiology, Massachusetts General Hospital, 55 Fruit St, Ste 236, Boston, MA 02114.
  • Katherine P Andriole
    Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (W.F.W., M.T.C., K.M., S.A.G., E.G., M.H.R., G.C.G., K.P.A.); and MGH & BWH Center for Clinical Data Science, Boston, Mass (W.F.W., M.T.C., K.M., K.P.A.).
  • Keith J Dreyer
    Department of Radiology, Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States; Mass General Brigham Data Science Office (DSO), Boston, MA, United States.
  • Mannudeep K Kalra
  • Bernardo C Bizzo
    Department of Radiology, Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States; Mass General Brigham Data Science Office (DSO), Boston, MA, United States.