The Evolving Role of Artificial Intelligence in Cardiac Image Analysis.

Journal: The Canadian journal of cardiology
Published Date: Oct 4, 2021

Abstract

Research in artificial intelligence (AI) has progressed over the past decade. The field of cardiac imaging has seen significant developments using newly developed deep learning methods for automated image analysis and AI tools for disease detection and prognostication. This review is aimed at those without special background in AI. We review AI concepts and survey the growing contemporary applications of AI for image analysis in echocardiography, nuclear cardiology, cardiac computed tomography, cardiac magnetic resonance, and invasive angiography.

Authors

  • Pascal Theriault Lauzier
    Departments of Medicine (Cardiology and Nuclear Medicine) and Radiology, University of Ottawa Heart Institute, Ottawa, Ontario, Canada.
  • Robert Avram
    Division of Cardiology, Department of Medicine, Montreal Heart Institute, University of Montreal, Montreal, QC H1T 1C8, Canada. Electronic address: robert.avram.md@gmail.com.
  • Damini Dey
    Departments of Imaging and Medicine, and Cedars-Sinai Heart Institute, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Taper A238, Los Angeles, CA, 90048, USA.
  • Piotr Slomka
    Departments of Imaging and Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
  • Jonathan Afilalo
    Division of Cardiology and Experimental Medicine, Department of Medicine, Jewish General Hospital, Montréal, Québec, Canada.
  • Benjamin J W Chow
    Department of Medicine, Division of Cardiology, University of Ottawa Heart Institute, 40 Ruskin Street, Ottawa, ON K1Y 4W7, Canada.

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