Published on in Vol 6, No 8 (2022): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36443, first published .
Qualitative Evaluation of an Artificial Intelligence–Based Clinical Decision Support System to Guide Rhythm Management of Atrial Fibrillation: Survey Study

Qualitative Evaluation of an Artificial Intelligence–Based Clinical Decision Support System to Guide Rhythm Management of Atrial Fibrillation: Survey Study

Qualitative Evaluation of an Artificial Intelligence–Based Clinical Decision Support System to Guide Rhythm Management of Atrial Fibrillation: Survey Study

John Stacy   1 , BSc, MSc, MD ;   Rachel Kim   2 , BA ;   Christopher Barrett   3 , MD ;   Balaviknesh Sekar   4 , MSc ;   Steven Simon   3 , MD ;   Farnoush Banaei-Kashani   4 , PhD ;   Michael A Rosenberg   3 , MD

1 Department of Medicine, University of Colorado, Aurora, CO, United States

2 Colorado Center for Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States

3 Division of Cardiology, University of Colorado Anschutz Medical Campus, Aurora, CO, United States

4 Department of Computer Science, University of Colorado, Denver, CO, United States

Corresponding Author:

  • John Stacy, BSc, MSc, MD
  • Department of Medicine
  • University of Colorado
  • 12631 E 17th Ave, Mailbox B177
  • Aurora, CO, 80045
  • United States
  • Phone: 1 3037241785
  • Email: john.stacy@cuanschutz.edu