Identifying patients with atrial fibrillation during sinus rhythm on ECG: Significance of the labeling in the artificial intelligence algorithm-Reference-Cited by-同舟云学术

Identifying patients with atrial fibrillation during sinus rhythm on ECG: Significance of the labeling in the artificial intelligence algorithm

Published:2022-02 Issue: Volume:38 Page:100954
ISSN:2352-9067
Container-title:IJC Heart & Vasculature
language:en
Short-container-title:IJC Heart & Vasculature

Author:

Suzuki Shinya^ORCID,Motogi Jun,Nakai Hiroshi,Matsuzawa Wataru,Takayanagi Tsuneo,Umemoto Takuya,Hirota Naomi,Hyodo Akira,Satoh Keiichi,Otsuka Takayuki,Arita Takuto,Yagi Naoharu,Yamashita Takeshi

Funder

Daiichi-Sankyo

Mitsubishi Tanabe Pharma Corporation

AMED

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine

Reference19 articles.

1. 2020 ESC Guidelines for the diagnosis and management of atrial fibrillation developed in collaboration with the European Association for Cardio-Thoracic Surgery (EACTS)

2. 2019 AHA/ACC/HRS Focused Update of the 2014 AHA/ACC/HRS Guideline for the Management of Patients With Atrial Fibrillation: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines and the Heart Rhythm Society in Collaboration With the Society of Thoracic Surgeons

3. Cryptogenic stroke and underlying atrial fibrillation;Sanna;N. Engl. J. Med.,2014

4. Atrial fibrillation in patients with cryptogenic stroke;Gladstone;N. Engl. J. Med.,2014

5. An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction;Attia;Lancet,2019

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