The use of artificial intelligence for predicting postinfarction myocardial viability in echocardiographic images.

Journal: Cardiology journal
PMID: 38742717

Abstract

BACKGROUND: Evaluation of standard echocardiographic examination with artificial intelligence may help in the diagnosis of myocardial viability and function recovery after acute coronary syndrome.

Authors

  • Błażej Michalski
    1st Department and Chair of Cardiology, Medical University of Lodz, Poland. bwmichalski@op.pl.
  • Sławomir Skonieczka
    Institute of Electronics, Department of Medical Electronics, Technical University of Lodz, Poland.
  • Michał Strzelecki
    Institute of Electronics, Lodz University of Technology, 93-590 Lodz, Poland.
  • Michał Simiera
    1st Department and Chair of Cardiology, Medical University of Lodz, Poland.
  • Karolina Kupczyńska
    1st Department and Chair of Cardiology, Medical University of Lodz, Poland.
  • Ewa Szymczyk
    Department of Cardiology, Medical University of Lodz, Bieganski Hospital, Lodz, Poland.
  • Paulina Wejner-Mik
    Department of Cardiology, Medical University of Lodz, Bieganski Hospital, Lodz, Poland.
  • Piotr Lipiec
    Department of Cardiology, Medical University of Lodz, Bieganski Hospital, Lodz, Poland.
  • Jarosław D Kasprzak
    Department of Cardiology, Medical University of Lodz, Bieganski Hospital, Lodz, Poland.

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