AI-enhanced recognition of occlusions in acute coronary syndrome (AERO-ACS): a retrospective study.

Journal: Coronary artery disease
Published Date: Jul 25, 2025

Abstract

BACKGROUND: Artificial intelligence (AI) augmentation of ECG assessment has significant potential to improve patient outcomes in acute coronary syndrome.

Authors

  • James W H Choi
    Department of Cardiology, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Lenox Hill Hospital.
  • Vincent Torelli
    Department of Medicine.
  • Alex Silverman
    Department of Medicine.
  • Sara Saravia Diaz
    Department of Medicine.
  • Darren Kong
    Department of Cardiology, Icahn School of Medicine at Mount Sinai, Mount Sinai Morningside, New York City, New York, USA.
  • Esha Vaish
    Department of Medicine.
  • Luka Katic
    Department of Medicine.
  • Alex Nagourney
    Department of Medicine.
  • Zara Khan
    Department of Medicine.
  • Lexi Robbins
    Department of Cardiology, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Lenox Hill Hospital.
  • Sean Pinney
  • Nitin Barman
    Department of Cardiology, Icahn School of Medicine at Mount Sinai, Mount Sinai Morningside, New York City, New York, USA.
  • Serdar Farhan
    Department of Cardiology, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Lenox Hill Hospital.

Keywords

No keywords available for this article.

External Resources

Popular Topics
Recent Journals