Emerging Roles for Artificial Intelligence in Heart Failure Imaging.

Journal: Heart failure clinics
Published Date: May 10, 2023

Abstract

Artificial intelligence (AI) applications are expanding in cardiac imaging. AI research has shown promise in workflow optimization, disease diagnosis, and integration of clinical and imaging data to predict patient outcomes. The diagnostic and prognostic paradigm of heart failure is heavily reliant on cardiac imaging. As AI becomes increasingly validated and integrated into clinical practice, AI influence on heart failure management will grow. This review discusses areas of current research and potential clinical applications in AI as applied to heart failure cardiac imaging.

Authors

  • Andrew J Bradley
    University of Nottingham School of Veterinary Medicine and Science, College Road, Sutton Bonington, Leicestershire, LE12 5RD, UK.
  • Malik Ghawanmeh
    Division of Cardiology, Department of Medicine, The George Washington University School of Medicine and Health Sciences, Washington, DC, USA.
  • Ashley M Govi
    Division of Cardiology, Department of Medicine, The George Washington University School of Medicine and Health Sciences, Washington, DC, USA.
  • Pedro Covas
    Division of Cardiology, Department of Medicine, The George Washington University School of Medicine and Health Sciences, Washington, DC, USA.
  • Gurusher Panjrath
    Division of Cardiology, Department of Medicine, The George Washington University School of Medicine and Health Sciences, Washington, DC, USA. Electronic address: https://twitter.com/PanjrathG.
  • Andrew D Choi
    Division of Cardiology and Department of Radiology, The George Washington University School of Medicine and Health Sciences, Washington, District of Columbia, USA adchoi@mfa.gwu.edu.

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