Diagnostic utility of artificial intelligence for left ventricular scar identification using cardiac magnetic resonance imaging-A systematic review.

Journal: Cardiovascular digital health journal
Published Date: Nov 24, 2021

Abstract

BACKGROUND: Accurate, rapid quantification of ventricular scar using cardiac magnetic resonance imaging (CMR) carries importance in arrhythmia management and patient prognosis. Artificial intelligence (AI) has been applied to other radiological challenges with success.

Authors

  • Nikesh Jathanna
    Trent Cardiac Centre, Nottingham City Hospital, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom.
  • Anna Podlasek
    NIHR Nottingham Biomedical Research Centre, Queen's Medical Centre, Nottingham, United Kingdom.
  • Albert Sokol
    University of Nottingham, Nottingham, United Kingdom.
  • Dorothee Auer
    NIHR Nottingham Biomedical Research Centre, Queen's Medical Centre, Nottingham, United Kingdom.
  • Xin Chen
    University of Nottingham, Nottingham, United Kingdom.
  • Shahnaz Jamil-Copley
    Trent Cardiac Centre, Nottingham City Hospital, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom.

Keywords

No keywords available for this article.

External Resources

Popular Topics
Recent Journals