Deep Learning to Estimate Left Ventricular Ejection Fraction From Routine Coronary Angiographic Images.

Journal: JACC. Advances
Published Date: Oct 11, 2023

Abstract

BACKGROUND: Cine images during coronary angiography contain a wealth of information besides the assessment of coronary stenosis. We hypothesized that deep learning (DL) can discern moderate-severe left ventricular dysfunction among patients undergoing coronary angiography.

Authors

  • Behrouz Rostami
    Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA.
  • Kenneth Fetterly
    Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA.
  • Zachi Attia
    Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA.
  • Apurva Challa
    Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA.
  • Francisco Lopez-Jimenez
    Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA.
  • Jeremy Thaden
    Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA.
  • Samuel Asirvatham
    Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA.
  • Paul Friedman
    Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA.
  • Rajiv Gulati
    Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA.
  • Mohamad Alkhouli
    Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA.

Keywords

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