ealtime Diagnosis from lectrocardiogram Artificial Intelligence- uided Screening for trial Fibrillation with ong Follow-Up (REGAL): Rationale and design of a pragmatic, decentralized, randomized controlled trial-Reference-Cited by-同舟云学术

ealtime Diagnosis from lectrocardiogram Artificial Intelligence- uided Screening for trial Fibrillation with ong Follow-Up (REGAL): Rationale and design of a pragmatic, decentralized, randomized controlled trial

Published:2024-01 Issue: Volume:267 Page:62-69
ISSN:0002-8703
Container-title:American Heart Journal
language:en
Short-container-title:American Heart Journal

Author:

Yao Xiaoxi^ORCID,Attia Zachi I.,Behnken Emma M.,Hart Melissa S.,Inselman Shealeigh A.,Weber Kayla C.,Li Fan,Stricker Nikki H.,Stricker John L.,Friedman Paul A.,Noseworthy Peter A.

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine

Reference25 articles.

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1. Artificial Intelligence Across the Continuum of Atrial Fibrillation Screening, Diagnosis, and Treatment;Current Cardiovascular Risk Reports;2024-09-06

2. Application of Artificial Intelligence in Cardiology: A Bibliometric Analysis;Cureus;2024-08-15

3. Assessing AI Solution Effectiveness: The Role of Pragmatic Trials;Mayo Clinic Proceedings: Digital Health;2024-08

4. Artificial-intelligence-based risk prediction and mechanism discovery for atrial fibrillation using heart beat-to-beat intervals;Med;2024-05