Computer versus cardiologist: Is a machine learning algorithm able to outperform an expert in diagnosing a phospholamban p.Arg14del mutation on the electrocardiogram?

Journal: Heart rhythm
PMID: 32911053

Abstract

BACKGROUND: Phospholamban (PLN) p.Arg14del mutation carriers are known to develop dilated and/or arrhythmogenic cardiomyopathy, and typical electrocardiographic (ECG) features have been identified for diagnosis. Machine learning is a powerful tool used in ECG analysis and has shown to outperform cardiologists.

Authors

  • Hidde Bleijendaal
    Amsterdam UMC, University of Amsterdam, Heart Center, Department of Clinical and Experimental Cardiology, Amsterdam Cardiovascular Sciences, Meibergdreef 9, Amsterdam, the Netherlands.
  • Lucas A Ramos
    Amsterdam UMC, University of Amsterdam, Heart Center, Department of Clinical and Experimental Cardiology, Amsterdam Cardiovascular Sciences, Meibergdreef 9, Amsterdam, the Netherlands.
  • Ricardo R Lopes
    Amsterdam UMC, University of Amsterdam, Heart Center, Department of Clinical and Experimental Cardiology, Amsterdam Cardiovascular Sciences, Meibergdreef 9, Amsterdam, the Netherlands.
  • Tom E Verstraelen
    Amsterdam UMC, University of Amsterdam, Heart Center, Department of Clinical and Experimental Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands.
  • Sarah W E Baalman
    Amsterdam UMC, University of Amsterdam, Heart Center, Department of Clinical and Experimental Cardiology, Amsterdam Cardiovascular Sciences, Meibergdreef 9, Amsterdam, the Netherlands.
  • Marinka D Oudkerk Pool
    Amsterdam UMC, University of Amsterdam, Heart Center, Department of Clinical and Experimental Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands.
  • Fleur V Y Tjong
    Department of Cardiology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
  • Francisco M Melgarejo-Meseguer
    Virgen de Arrixaca Hospital, El Palmar, Spain.
  • F Javier Gimeno-Blanes
    Miguel Hernández University, Elche, Alicante, Spain.
  • Juan R Gimeno-Blanes
    Virgen de Arrixaca Hospital, El Palmar, Spain; Member of the European Reference Network for Rare and Low Prevalence Complex Diseases of the Heart (ERN GUARD-Heart).
  • Ahmad S Amin
    Amsterdam UMC, University of Amsterdam, Heart Center, Department of Clinical and Experimental Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands; Member of the European Reference Network for Rare and Low Prevalence Complex Diseases of the Heart (ERN GUARD-Heart).
  • Michiel M Winter
    Amsterdam UMC, University of Amsterdam, Heart Center, Department of Clinical and Experimental Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands.
  • Henk A Marquering
    Department of Biomedical Engineering and Physics, Academic Medical Center, Amsterdam, The Netherlands.
  • Wouter E M Kok
    Amsterdam UMC, University of Amsterdam, Heart Center, Department of Clinical and Experimental Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands.
  • Aeilko H Zwinderman
    Amsterdam UMC, University of Amsterdam, Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam, The Netherlands.
  • Arthur A M Wilde
    European Reference Network for Rare, Low Prevalence and Complex Diseases of the Heart: ERN GUARD-Heart (P.D.L., A.A.M.W.).
  • Yigal M Pinto
    Amsterdam UMC, University of Amsterdam, Heart Center, Department of Clinical and Experimental Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands.

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