Population data-based federated machine learning improves automated echocardiographic quantification of cardiac structure and function: the project.

Journal: European heart journal. Digital health
Published Date: Nov 15, 2023

Abstract

AIMS: Machine-learning (ML)-based automated measurement of echocardiography images emerges as an option to reduce observer variability. The objective of the study is to improve the accuracy of a pre-existing automated reading tool ('original detector') by federated ML-based re-training.

Authors

  • Caroline Morbach
    Department Clinical Research and Epidemiology, Comprehensive Heart Failure Center, University Hospital Würzburg, Am Schwarzenberg 15, D-97078 Würzburg, Germany.
  • Götz Gelbrich
    Institute of Clinical Epidemiology and Biometry, University of Würzburg, Josef-Schneider-Str. 2, 97080 Würzburg, Germany.
  • Marcus Schreckenberg
    TOMTEC Imaging Systems GmbH, Freisinger Str. 9, 85716 Unterschleissheim, Germany.
  • Maike Hedemann
    Department Clinical Research and Epidemiology, Comprehensive Heart Failure Center, University Hospital Würzburg, Am Schwarzenberg 15, D-97078 Würzburg, Germany.
  • Dora Pelin
    Department Clinical Research and Epidemiology, Comprehensive Heart Failure Center, University Hospital Würzburg, Am Schwarzenberg 15, D-97078 Würzburg, Germany.
  • Nina Scholz
    Department Clinical Research and Epidemiology, Comprehensive Heart Failure Center, University Hospital Würzburg, Am Schwarzenberg 15, D-97078 Würzburg, Germany.
  • Olga Miljukov
    Institute of Clinical Epidemiology and Biometry, University of Würzburg, Josef-Schneider-Str. 2, 97080 Würzburg, Germany.
  • Achim Wagner
    Service Center Medical Informatics, University Hospital Würzburg, Josef-Schneider-Str. 2, 97080 Würzburg, Germany.
  • Fabian Theisen
    Department Clinical Research and Epidemiology, Comprehensive Heart Failure Center, University Hospital Würzburg, Am Schwarzenberg 15, D-97078 Würzburg, Germany.
  • Niklas Hitschrich
    TOMTEC Imaging Systems GmbH, Freisinger Str. 9, 85716 Unterschleissheim, Germany.
  • Hendrik Wiebel
    TOMTEC Imaging Systems GmbH, Freisinger Str. 9, 85716 Unterschleissheim, Germany.
  • Daniel Stapf
    TOMTEC Imaging Systems GmbH, Freisinger Str. 9, 85716 Unterschleissheim, Germany.
  • Oliver Karch
    Service Center Medical Informatics, University Hospital Würzburg, Josef-Schneider-Str. 2, 97080 Würzburg, Germany.
  • Stefan Frantz
    Department Clinical Research and Epidemiology, Comprehensive Heart Failure Center, University Hospital Würzburg, Am Schwarzenberg 15, D-97078 Würzburg, Germany.
  • Peter U Heuschmann
    Institute of Clinical Epidemiology and Biometry, University of Würzburg, Josef-Schneider-Str. 2, 97080 Würzburg, Germany.
  • Stefan Störk
    Department Clinical Research and Epidemiology, Comprehensive Heart Failure Center, University Hospital Würzburg, Am Schwarzenberg 15, D-97078 Würzburg, Germany.

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