Diagnostic performance of an artificial intelligence-driven cardiac-structured reporting system for myocardial perfusion SPECT imaging.

Journal: Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology
Published Date: Sep 12, 2018

Abstract

OBJECTIVES: To describe and validate an artificial intelligence (AI)-driven structured reporting system by direct comparison of automatically generated reports to results from actual clinical reports generated by nuclear cardiology experts.

Authors

  • Ernest V Garcia
    Department of Radiology and Imaging Sciences, Emory University, 101 Woodruff Circle, Room 1203, Atlanta, GA, 30322, USA. ernest.garcia@emory.edu.
  • J Larry Klein
    Division of Cardiology, Department of Medicine, UNC School of Medicine, University of North Carolina, Chapel Hill, NC, USA.
  • Valeria Moncayo
    Department of Radiology and Imaging Sciences, Emory University, 101 Woodruff Circle, Room 1203, Atlanta, GA, 30322, USA.
  • C David Cooke
    Department of Radiology and Imaging Sciences, Emory University, 101 Woodruff Circle, Room 1203, Atlanta, GA, 30322, USA.
  • Christian Del'Aune
    Syntermed, Inc., Atlanta, GA, USA.
  • Russell Folks
    Department of Radiology and Imaging Sciences, Emory University, 101 Woodruff Circle, Room 1203, Atlanta, GA, 30322, USA.
  • Liudmila Verdes Moreiras
    Department of Radiology and Imaging Sciences, Emory University, 101 Woodruff Circle, Room 1203, Atlanta, GA, 30322, USA.
  • Fabio Esteves
    Department of Radiology and Imaging Sciences, Emory University, 101 Woodruff Circle, Room 1203, Atlanta, GA, 30322, USA.

Keywords

External Resources

Popular Topics
Recent Journals