Impact of artificial intelligence arrhythmia mapping on time to first ablation, procedure duration, and fluoroscopy use.

Journal: Journal of cardiovascular electrophysiology
PMID: 38439119

Abstract

INTRODUCTION: Artificial intelligence (AI) ECG arrhythmia mapping provides arrhythmia source localization using 12-lead ECG data; whether this information impacts procedural efficiency is unknown. We performed a retrospective, case-control study to evaluate the hypothesis that AI ECG mapping may reduce time to ablation, procedural duration, and fluoroscopy.

Authors

  • Sutton R Fox
    Department of Medicine, University of California San Diego, La Jolla, California, USA.
  • Avinash Toomu
    Department of Medicine, University of California San Diego, La Jolla, California, USA.
  • Kelly Gu
    Department of Medicine, University of California San Diego, La Jolla, California, USA.
  • Jessica Kang
    Department of Medicine, University of California San Diego, La Jolla, California, USA.
  • Kevin Sung
    Department of Medicine, University of California San Diego, La Jolla, California, USA.
  • Frederick T Han
    Department of Medicine, University of California San Diego, La Jolla, California, USA.
  • Kurt S Hoffmayer
    Division of Cardiology, Cardiac Electrophysiology Program, UCSD Health System, University of California, San Diego, 9452 Medical Center Dr., MC7411, 3rd Floor, Room 3E-313, La Jolla, CA, 92037, USA. khoffmayer@ucsd.edu.
  • Jonathan C Hsu
    Division of Cardiology, Cardiac Electrophysiology Program, UCSD Health System, University of California, San Diego, 9452 Medical Center Dr., MC7411, 3rd Floor, Room 3E-313, La Jolla, CA, 92037, USA.
  • Farshad Raissi
    Department of Medicine, University of California San Diego, La Jolla, California, USA.
  • Gregory K Feld
    Division of Cardiology, Cardiac Electrophysiology Program, UCSD Health System, University of California, San Diego, 9452 Medical Center Dr., MC7411, 3rd Floor, Room 3E-313, La Jolla, CA, 92037, USA.
  • Andrew D McCulloch
    Institute for Engineering in Medicine, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0412, USA.
  • Gordon Ho
    Department of Medicine, University of California San Diego, La Jolla, California, USA.
  • David E Krummen
    Department of Medicine (D.E.K.), University of California, San Diego.

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