Deep learning evaluation of biomarkers from echocardiogram videos.

Journal: EBioMedicine
Published Date: Oct 14, 2021

Abstract

BACKGROUND: Laboratory testing is routinely used to assay blood biomarkers to provide information on physiologic state beyond what clinicians can evaluate from interpreting medical imaging. We hypothesized that deep learning interpretation of echocardiogram videos can provide additional value in understanding disease states and can evaluate common biomarkers results.

Authors

  • J Weston Hughes
    Department of Computer Science, Stanford University, Palo Alto, CA 94025.
  • Neal Yuan
    Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
  • Bryan He
    Department of Computer Science, Stanford University, Stanford, California.
  • Jiahong Ouyang
    Stanford University, Stanford CA 94305, USA.
  • Joseph Ebinger
    Department of Cardiology, Cedars-Sinai Medical Center, Los Angeles, California, United States of America.
  • Patrick Botting
    Department of Cardiology, Cedars-Sinai Medical Center, Los Angeles, California, United States of America.
  • Jasper Lee
    Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, 90048.
  • John Theurer
    Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, 90048.
  • James E Tooley
    Department of Medicine, Stanford University, Palo Alto, CA, 94025.
  • Koen Nieman
    Department of Cardiology (A.C., M.L.L., J.D., K.N.).
  • Matthew P Lungren
  • David H Liang
    Department of Medicine, Stanford University, Stanford, CA, USA.
  • Ingela Schnittger
    Department of Medicine, Stanford University, Palo Alto, CA, 94025.
  • Jonathan H Chen
    Stanford Center for Biomedical Informatics Research, Stanford, CA.
  • Euan A Ashley
    Department of Genetics, Stanford University, Stanford, California, United States of America.
  • 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.
  • James Y Zou
    Department of Computer Science, Stanford University, Stanford, CA, USA. jamesz@stanford.edu.

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