Artificial intelligence-based fully automated stress left ventricular ejection fraction as a prognostic marker in patients undergoing stress cardiovascular magnetic resonance.

Journal: European heart journal. Cardiovascular Imaging
PMID:

Abstract

AIMS: This study aimed to determine in patients undergoing stress cardiovascular magnetic resonance (CMR) whether fully automated stress artificial intelligence (AI)-based left ventricular ejection fraction (LVEFAI) can provide incremental prognostic value to predict death above traditional prognosticators.

Authors

  • Solenn Toupin
    Siemens Healthcare France, Scientific Partnerships, Saint-Denis, France.
  • Théo Pezel
    Department of Cardiology, University Hospital of Lariboisiere, Université Paris-Cité, (Assistance Publique des Hôpitaux de Paris, AP-HP), Paris, France.
  • Thomas Hovasse
    Cardiovascular Magnetic Resonance Laboratory, Institut Cardiovasculaire Paris Sud (ICPS), Hôpital Privé Jacques Cartier, Ramsay Santé, Massy, France.
  • Francesca Sanguineti
    Cardiovascular Magnetic Resonance Laboratory, Institut Cardiovasculaire Paris Sud (ICPS), Hôpital Privé Jacques Cartier, Ramsay Santé, Massy, France.
  • Stéphane Champagne
    Cardiovascular Magnetic Resonance Laboratory, Institut Cardiovasculaire Paris Sud (ICPS), Hôpital Privé Jacques Cartier, Ramsay Santé, Massy, France.
  • Thierry Unterseeh
    Cardiovascular Magnetic Resonance Laboratory, Institut Cardiovasculaire Paris Sud (ICPS), Hôpital Privé Jacques Cartier, Ramsay Santé, Massy, France.
  • Suzanne Duhamel
    Institut Cardiovasculaire Paris Sud (ICPS), Cardiovascular Magnetic Resonance Laboratory, Hôpital Privé Jacques CARTIER, Ramsay Santé, 6 Avenue du Noyer Lambert, 91300 Massy, France.
  • Teodora Chitiboi
    Siemens Healthcare GmbH, Department of CMR, Hamburg, Deutschland.
  • Athira J Jacob
    Digital Technologies and Innovation, Siemens Healthineers, 755 College Road East, Princeton, NJ 08540, USA.
  • Indraneel Borgohain
    Digital Technologies and Innovation, Siemens Healthineers, 755 College Road East, Princeton, NJ 08540, USA.
  • Puneet Sharma
    Digital Technologies and Innovation, Siemens Healthineers, Princeton, NJ, United States.
  • Trecy Gonçalves
    Department of Cardiology, Université Paris Cité, University Hospital of Lariboisiere, (Assistance Publique des Hôpitaux de Paris, AP-HP), 75010 Paris, France.
  • Paul-Jun Martial
    Department of Cardiology, Université Paris Cité, University Hospital of Lariboisiere, (Assistance Publique des Hôpitaux de Paris, AP-HP), 75010 Paris, France.
  • Emmanuel Gall
    Department of Cardiology, Université Paris Cité, University Hospital of Lariboisiere, (Assistance Publique des Hôpitaux de Paris, AP-HP), 75010 Paris, France.
  • Jeremy Florence
    Department of Cardiology, Université Paris Cité, University Hospital of Lariboisiere, (Assistance Publique des Hôpitaux de Paris, AP-HP), 75010 Paris, France.
  • Alexandre Unger
    Department of Cardiology, Université Paris Cité, University Hospital of Lariboisiere, (Assistance Publique des Hôpitaux de Paris, AP-HP), 75010 Paris, France.
  • Philippe Garot
    Cardiovascular Magnetic Resonance Laboratory, Institut Cardiovasculaire Paris Sud (ICPS), Hôpital Privé Jacques Cartier, Ramsay Santé, Massy, France.
  • Jérôme Garot
    Cardiovascular Magnetic Resonance Laboratory, Institut Cardiovasculaire Paris Sud (ICPS), Hôpital Privé Jacques Cartier, Ramsay Santé, Massy, France.