Automated Deep Learning Phenotyping of Tricuspid Regurgitation in Echocardiography.

Abstract

Authors

• Amey Vrudhula
  Icahn School of Medicine at Mount Sinai, New York (A.V.).
• Milos Vukadinovic
  Department of Bioengineering, University of California Los Angeles, Los Angeles, CA 90095, USA; Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA; Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
• Christiane Haeffele
  Division of Cardiology, Department of Medicine, Stanford University, Palo Alto, California.
• Alan C Kwan
  Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA.
• Daniel Berman
  Department of Imaging, Cedars-Sinai Medical Center, Cedars-Sinai Heart Institute, Los Angeles, California.
• David Liang
• Robert Siegel
  Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
• Susan Cheng
  Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA.
• David Ouyang
  Division of Artificial Intelligence, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California, USA.

Keywords

External Resources