Artificial intelligence using a deep learning versus expert computed tomography human reading in calcium score and coronary artery calcium data and reporting system classification.

Journal: Coronary artery disease
Published Date: Sep 1, 2023

Abstract

BACKGROUND: Artificial intelligence (AI) applied to cardiac imaging may provide improved processing, reading precision and advantages of automation. Coronary artery calcium (CAC) score testing is a standard stratification tool that is rapid and highly reproducible. We analyzed CAC results of 100 studies in order to determine the accuracy and correlation between the AI software (Coreline AVIEW, Seoul, South Korea) and expert level-3 computed tomography (CT) human CAC interpretation and its performance when coronary artery disease data and reporting system (coronary artery calcium data and reporting system) classification is applied.

Authors

  • Jairo Aldana-Bitar
    Division of Cardiology, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Los Angeles.
  • Geoffrey W Cho
    Division of Cardiology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California.
  • Lauren Anderson
    Division of Cardiology, Cardiovascular Research Foundation of Southern California, Beverly Hills.
  • Daniel W Karlsberg
    Division of Cardiology, Cardiovascular Research Foundation of Southern California, Beverly Hills.
  • Venkat S Manubolu
    Division of Cardiology, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Los Angeles.
  • Dhiran Verghese
    Division of Cardiology, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Los Angeles.
  • Luay Hussein
    Division of Cardiology, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Los Angeles.
  • Matthew J Budoff
    Los Angeles Biomedical Research Institute at Harbor UCLA Medical Center, Torrance, CA, USA. mbudoff@labiomed.org.
  • Ronald P Karlsberg
    Division of Cardiology, Cardiovascular Research Foundation of Southern California, Beverly Hills.

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