Artificial intelligence fully automated analysis of handheld echocardiography in real-world patients with suspected heart failure.

Journal: European journal of heart failure
Published Date:

Abstract

AIMS: Echocardiography is a rate-limiting step in the timely diagnosis of heart failure (HF). Automated reporting of echocardiograms has the potential to streamline workflow. The aim of this study was to test the diagnostic accuracy of fully automated artificial intelligence (AI) analysis of images acquired using handheld echocardiography and its interchangeability with expert human-analysed cart-based echocardiograms in a real-world cohort with suspected HF.

Authors

  • Ross T Campbell
    School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK.
  • Mark C Petrie
    British Heart Foundation Cardiovascular Research Centre, University of Glasgow, Glasgow, UK.
  • Kieran F Docherty
    School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK.
  • Katriona J M Brooksbank
    School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK.
  • Gemma McKinley
    Robertson Centre for Biostatistics, School of Health and Wellbeing, University of Glasgow, Glasgow, UK.
  • Caroline Haig
    Robertson Centre for Biostatistics, School of Health and Wellbeing, University of Glasgow, Glasgow, UK.
  • Alex McConnachie
    Robertson Centre for Biostatistics, University of Glasgow, Glasgow, UK.
  • Carolyn S P Lam
    Duke-NUS Medical School, 8 College Rd, Singapore 169857, Singapore.
  • Carly Adamson
    School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK.
  • Elaine Butler
    School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK.
  • James P Curtain
    School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK.
  • Nick Hartshorne-Evans
    Pumping Marvellous, Preston, UK.
  • Fraser J Graham
    Cardiology Department, Queen Elizabeth University Hospital, Glasgow, UK.
  • Helen Hainey
    Cardiology Department, Queen Elizabeth University Hospital, Glasgow, UK.
  • John Jarvie
    School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK.
  • Matthew M Y Lee
    School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK.
  • Leeanne Macklin
    Cardiology Department, Forth Valley Royal Hospital, Larbert, UK.
  • Kenneth Mangion
    School of Cardiovascular and Metabolic Health, University of Glasgow, G12 8TA, UK.
  • Aimee McCoubrey
    School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK.
  • Kirsty McDowell
    School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK.
  • Aileen McIntyre
    Research and Innovation department, NHS Greater Glasgow and Clyde, Glasgow, UK.
  • Sabrina Nordin
    Cardiology Department, Queen Elizabeth University Hospital, Glasgow, UK.
  • Joanna Osmanska
    School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK.
  • Pierpaolo Pellicori
    Robertson Centre for Biostatistics and Clinical Trials, University of Glasgow, Glasgow, UK.
  • Joanne Simpson
    Cardiology Department, Queen Elizabeth University Hospital, Glasgow, UK.
  • Piotr Sonecki
    Cardiology Department, Queen Elizabeth University Hospital, Glasgow, UK.
  • Karen Taylor
    Cardiology Department, Queen Elizabeth University Hospital, Glasgow, UK.
  • Daniel Taylor-Sweet
    School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK.
  • Pamela Turnbull
    Cardiology Department, Glasgow Royal Infirmary, Glasgow, UK.
  • Paul Welsh
    School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK.
  • John J V McMurray
    British Heart Foundation Cardiovascular Research Centre, University of Glasgow, United Kingdom (P.J., J.J.V.M.).
  • Clare L Murphy
    Cardiology Department, Forth Valley Royal Hospital, Larbert, UK.
  • David J Lowe
    Emergency Department, Queen Elizabeth University Hospital, Glasgow, Scotland.

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