4.6 Article

Explainable artificial intelligence to detect atrial fibrillation using electrocardiogram

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Cardiac & Cardiovascular Systems

Artificial intelligence for detecting mitral regurgitation using electrocardiography

Joon-myoung Kwon et al.

JOURNAL OF ELECTROCARDIOLOGY (2020)

Article Multidisciplinary Sciences

A 12-lead electrocardiogram database for arrhythmia research covering more than 10,000 patients

Jianwei Zheng et al.

SCIENTIFIC DATA (2020)

Review Cardiac & Cardiovascular Systems

Atrial Fibrillation JACC Council Perspectives

Mina K. Chung et al.

JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY (2020)

Article Cardiac & Cardiovascular Systems

Deep Learning-Based Algorithm for Detecting Aortic Stenosis Using Electrocardiography

Joon-Myoung Kwon et al.

JOURNAL OF THE AMERICAN HEART ASSOCIATION (2020)

Article Multidisciplinary Sciences

PTB-XL, a large publicly available electrocardiography dataset

Patrick Wagner et al.

SCIENTIFIC DATA (2020)

Article Cardiac & Cardiovascular Systems

Emerging Technologies for Identifying Atrial Fibrillation

Eric Y. Ding et al.

CIRCULATION RESEARCH (2020)

Article Medicine, General & Internal

Early Rhythm-Control Therapy in Patients with Atrial Fibrillation

Paulus Kirchhof et al.

NEW ENGLAND JOURNAL OF MEDICINE (2020)

Article Cardiac & Cardiovascular Systems

Development and Validation of a Deep-Learning Model to Screen for Hyperkalemia From the Electrocardiogram

Conner D. Galloway et al.

JAMA CARDIOLOGY (2019)

Article Biochemistry & Molecular Biology

Screening for cardiac contractile dysfunction using an artificial intelligence-enabled electrocardiogram

Zachi I. Attia et al.

NATURE MEDICINE (2019)

Article Computer Science, Artificial Intelligence

Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead

Cynthia Rudin

NATURE MACHINE INTELLIGENCE (2019)

Article Cardiac & Cardiovascular Systems

Passive Detection of Atrial Fibrillation Using a Commercially Available Smartwatch

Geoffrey H. Tison et al.

JAMA CARDIOLOGY (2018)

Article Critical Care Medicine

Machine learning for real-time prediction of complications in critical care: a retrospective study

Alexander Meyer et al.

LANCET RESPIRATORY MEDICINE (2018)

Article Cardiac & Cardiovascular Systems

2016 ESC Guidelines for the management of atrial fibrillation developed in collaboration with EACTS

Paulus Kirchhof et al.

EUROPEAN HEART JOURNAL (2016)

Review Cardiac & Cardiovascular Systems

Accuracy of methods for diagnosing atrial fibrillation using 12-lead ECG: A systematic review and meta-analysis

Jaspal S. Taggar et al.

INTERNATIONAL JOURNAL OF CARDIOLOGY (2015)

Article Cardiac & Cardiovascular Systems

Worldwide Epidemiology of Atrial Fibrillation A Global Burden of Disease 2010 Study

Sumeet S. Chugh et al.

CIRCULATION (2014)

Article Cardiac & Cardiovascular Systems

Estimates of Current and Future Incidence and Prevalence of Atrial Fibrillation in the US Adult Population

Susan Colilla et al.

AMERICAN JOURNAL OF CARDIOLOGY (2013)