This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (3229) Cardiac Arrhythmia, Atrial Fibrillation (115) Machine Learning (2076) Artificial Intelligence (2129)

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

Authors of this article:

John Stacy1 Author Orcid Image ;   Rachel Kim2 Author Orcid Image ;   Christopher Barrett3 Author Orcid Image ;   Balaviknesh Sekar4 Author Orcid Image ;   Steven Simon3 Author Orcid Image ;   Farnoush Banaei-Kashani4 Author Orcid Image ;   Michael A Rosenberg3 Author Orcid Image
Article Authors Cited by (6) Tweetations (4) Metrics

Journals

  1. Crespin E, Rosier A, Ibnouhsein I, Gozlan A, Lazarus A, Laurent G, Menet A, Bonnet J, Varma N. Improved diagnostic performance of insertable cardiac monitors by an artificial intelligence-based algorithm. Europace 2023;26(1) View
  2. Ponomarenko A, Gavrilko A, Gartung A, Poliakova M, Oganesyan A, Benimetskaya K, Losik D, Shalaev S. Clinical application of clinical decision support systems in the management of patients with atrial fibrillation. Rational Pharmacotherapy in Cardiology 2024;20(4):468 View
  3. Tun H, Rahman H, Naing L, Malik O. Trust in Artificial Intelligence–Based Clinical Decision Support Systems Among Health Care Workers: Systematic Review. Journal of Medical Internet Research 2025;27:e69678 View
  4. Giebel G, Raszke P, Nowak H, Palmowski L, Adamzik M, Heinz P, Tokic M, Timmesfeld N, Brunkhorst F, Wasem J, Blase N. Improving AI-Based Clinical Decision Support Systems and Their Integration Into Care From the Perspective of Experts: Interview Study Among Different Stakeholders. JMIR Medical Informatics 2025;13:e69688 View
  5. Lee P, Huang M, Huang T, Sung P, Hsu C, Huang Y, Lin S, Liu P. Improvement of Oral Anticoagulant Prescription and Long‐Term Clinical Outcomes of Patients With Atrial Fibrillation After Implementation of a Clinical Decision Support System in Outpatient Practice. Journal of the American Heart Association 2025;14(15) View
  6. Goossens K, Borry P, Forehand T, Van Steijvoort E. AI-driven tools for the prediction of obesity-related vascular diseases: stakeholder perspectives and challenges. Frontiers in Public Health 2025;13 View