Use of Machine Learning to Improve Echocardiographic Image Interpretation Workflow: A Disruptive Paradigm Change?

Journal: Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography
Published Date: Dec 1, 2020

Abstract

No abstract available for this article.

Authors

  • Roberto M Lang
    Cardiac Imaging Center, University of Chicago Medical Center, Chicago, Illinois.
  • Karima Addetia
    Department of Medicine, University of Chicago Medical Center, 5758 South Maryland Ave, MC 9067 Room 5513, Chicago, IL, USA.
  • Tatsuya Miyoshi
    MedStar Heart and Vascular Institute/Health Research Institute, Washington, D.C.
  • Kalie Kebed
    University of Chicago Medical Center, Chicago, Illinois.
  • Alexandra Blitz
    TOMTEC Imaging Systems, Unterschleissheim, Germany.
  • Marcus Schreckenberg
    TOMTEC Imaging Systems GmbH, Freisinger Str. 9, 85716 Unterschleissheim, Germany.
  • Niklas Hitschrich
    TOMTEC Imaging Systems GmbH, Freisinger Str. 9, 85716 Unterschleissheim, Germany.
  • Victor Mor-Avi
    Cardiac Imaging Center, University of Chicago Medical Center, Chicago, Illinois.
  • Federico M Asch
    MedStar Health Research Institute, Washington DC (F.M.A.).

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