Development and Validation of a Model to Identify Critical Brain Injuries Using Natural Language Processing of Text Computed Tomography Reports.

Journal: JAMA network open
PMID:

Abstract

IMPORTANCE: Clinical text reports from head computed tomography (CT) represent rich, incompletely utilized information regarding acute brain injuries and neurologic outcomes. CT reports are unstructured; thus, extracting information at scale requires automated natural language processing (NLP). However, designing new NLP algorithms for each individual injury category is an unwieldy proposition. An NLP tool that summarizes all injuries in head CT reports would facilitate exploration of large data sets for clinical significance of neuroradiological findings.

Authors

  • Victor M Torres-Lopez
    Department of Neurology, Yale University, New Haven, Connecticut.
  • Grace E Rovenolt
    Department of Neurology, Yale University, New Haven, Connecticut.
  • Angelo J Olcese
    Department of Neurology, Yale University, New Haven, Connecticut.
  • Gabriella E Garcia
    Department of Neurology, Yale University, New Haven, Connecticut.
  • Sarah M Chacko
    Department of Neurology, Yale University, New Haven, Connecticut.
  • Amber Robinson
    Department of Neurology, Yale University, New Haven, Connecticut.
  • Edward Gaiser
    Department of Neurology, Yale University, New Haven, Connecticut.
  • Julian Acosta
    Department of Neurology (G.J.F., E.P.K., R.B.N., K.R., J.A., K.N.S.), Yale School of Medicine, New Haven, CT.
  • Alison L Herman
    Department of Neurology, Yale University, New Haven, Connecticut.
  • Lindsey R Kuohn
    Department of Neurology, Yale University, New Haven, Connecticut.
  • Megan Leary
    Department of Neurology, Yale University, New Haven, Connecticut.
  • Alexandria L Soto
    Department of Neurology, Yale University, New Haven, Connecticut.
  • Qiang Zhang
    Yunan Provincial Center for Disease Control and Prevention, Kunming 650022, China.
  • Safoora Fatima
    Department of Neurology, University of Wisconsin, Madison.
  • Guido J Falcone
    Department of Neurology (G.J.F., E.P.K., R.B.N., K.R., J.A., K.N.S.), Yale School of Medicine, New Haven, CT.
  • M Seyedmehdi Payabvash
    Department of Radiology, Yale University, New Haven, Connecticut.
  • Richa Sharma
    Centre for Biomedical Engineering, Indian Institute of Technology Delhi, New Delhi-110016, India. Electronic address: Richa.Sharma@cbme.iitd.ac.in.
  • Aaron F Struck
    Department of Neurology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA.
  • Kevin N Sheth
    Department of Neurology (G.J.F., E.P.K., R.B.N., K.R., J.A., K.N.S.), Yale School of Medicine, New Haven, CT.
  • M Brandon Westover
    Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts.
  • Jennifer A Kim
    Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts.