4.5 Article

Prediction of the Presence of Ventricular Fibrillation From a Brugada Electrocardiogram Using Artificial Intelligence

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

QRS micro-fragmentation as a mortality predictor

Katerina Hnatkova et al.

Summary: A technology called QRS ‘micro’-fragmentation has been developed to quantify invisible ECG abnormalities, and has been found to independently predict mortality in three different populations. This new method shows promise in predicting survival and may replace other risk markers in clinical settings.

EUROPEAN HEART JOURNAL (2022)

Review Cardiac & Cardiovascular Systems

Brugada syndrome: update and future perspectives

E. Madelief J. Marsman et al.

Summary: Brugada syndrome is an inherited cardiac disorder with a typical ECG pattern and increased risk of arrhythmias and sudden cardiac death. Diagnosis and risk prediction are challenging, but with the rise in asymptomatic patients and family screenings, the incidence is expected to increase.
Review Cardiac & Cardiovascular Systems

Artificial intelligence and cardiology: Current status and perspective

Tomofumi Nakamura et al.

Summary: The development of artificial intelligence (AI) in medicine, especially in cardiovascular medicine, has seen rapid progress in recent years. AI has the potential to contribute to disease prevention, screening, treatment, and prognosis prediction. However, understanding the concept and mechanism of AI is crucial to ensure its appropriate and safe use in healthcare.

JOURNAL OF CARDIOLOGY (2022)

Article Cardiac & Cardiovascular Systems

JCS/JHRS 2019 guideline on non-pharmacotherapy of cardiac arrhythmias

Akihiko Nogami et al.

JOURNAL OF ARRHYTHMIA (2021)

Article Cardiac & Cardiovascular Systems

Robustness and relevance of predictive score in sudden cardiac death for patients with Brugada syndrome

Vincent Probst et al.

Summary: The study aimed to investigate the accuracy of Brugada syndrome patients' sudden cardiac arrest risk scores. The research found that risk scores were unable to accurately stratify the risk of arrhythmic events in intermediate-risk patients, based on a cohort of 1613 patients.

EUROPEAN HEART JOURNAL (2021)

Article Cardiac & Cardiovascular Systems

Automated Electrocardiogram Analysis Identifies Novel Predictors of Ventricular Arrhythmias in Brugada Syndrome

Gary Tse et al.

Summary: This study identified novel risk markers for predicting adverse outcomes in Brugada syndrome through automated ECG analysis, which should be validated in larger prospective studies.

FRONTIERS IN CARDIOVASCULAR MEDICINE (2021)

Review Cardiac & Cardiovascular Systems

Standard ECG in Brugada Syndrome as a Marker of Prognosis: From Risk Stratification to Pathophysiological Insights

Francesco Vitali et al.

Summary: The 12-lead ECG plays a crucial role in diagnosing Brugada syndrome. A systematic review identified 12 specific ECG features associated with a higher risk of sudden death in BrS patients. A multiparametric risk assessment approach based on these ECG parameters could potentially improve current risk stratification scores and warrants further investigation.

JOURNAL OF THE AMERICAN HEART ASSOCIATION (2021)

Article Cardiac & Cardiovascular Systems

Machine learning with electrocardiograms: A call for guidelines and best practices for 'stress testing' algorithms

Raymond Bond et al.

Summary: This paper discusses how computer programs are used to automatically interpret electrocardiograms and explores the application of deep neural networks in ECG classification algorithms. Additionally, it examines hybrid algorithms, the impact of open ECG datasets on research focus, and potential risks and opportunities for ML with ECGs.

JOURNAL OF ELECTROCARDIOLOGY (2021)

Review Cardiac & Cardiovascular Systems

Does the Age of Sudden Cardiac Death in Family Members Matter in Brugada Syndrome?

Pattara Rattanawong et al.

Summary: The study revealed that a history of SCD among family members under the age of 40 is associated with a higher risk of MAE. Additionally, a history of SCD in younger family members was significantly linked to a higher risk of MAE when stratified by the age cutoff points of 50, 45, 40, and 35 years old.

JOURNAL OF THE AMERICAN HEART ASSOCIATION (2021)

Article Cardiac & Cardiovascular Systems

2021 ISHNE/HRS/EHRA/APHRS collaborative statement on mHealth in Arrhythmia Management: Digital Medical Tools for Heart Rhythm Professionals From the International Society for Holter and Noninvasive Electrocardiology/Heart Rhythm Society/European Heart Rhythm Association/Asia Pacific Heart Rhythm Society

Niraj Varma et al.

Summary: This collaborative statement discusses the current status of mobile health technologies in arrhythmia management, including the range of digital medical tools, clinical decision support, comorbidity and lifestyle management, patient self-management, as well as the promises of predictive analytics and operational challenges in embedding mHealth into routine clinical care.

JOURNAL OF ARRHYTHMIA (2021)

Article Cardiac & Cardiovascular Systems

Prevalence of spontaneous type I ECG pattern, syncope, and other risk markers in sudden cardiac arrest survivors with Brugada syndrome

Kevin M. W. Leong et al.

PACE-PACING AND CLINICAL ELECTROPHYSIOLOGY (2019)

Review Cardiac & Cardiovascular Systems

Present Status of Brugada Syndrome JACC State-of-the-Art Review

Josep Brugada et al.

JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY (2018)

Article Cardiac & Cardiovascular Systems

A score model to predict risk of events in patients with Brugada Syndrome

Juan Sieira et al.

EUROPEAN HEART JOURNAL (2017)

Article Cardiac & Cardiovascular Systems

Risk stratification of ventricular fibrillation in Brugada syndrome using noninvasive scoring methods

Hiroshi Kawazoe et al.

HEART RHYTHM (2016)

Article Cardiac & Cardiovascular Systems

Unmasking Brugada-Type Electrocardiogram on Deep Inspiration

Noriyoshi Yamawake et al.

CIRCULATION JOURNAL (2014)

Article Cardiac & Cardiovascular Systems

Long-Term Prognosis of Probands With Brugada-Pattern ST-Elevation in Leads V1-V3

Shiro Kamakura et al.

CIRCULATION-ARRHYTHMIA AND ELECTROPHYSIOLOGY (2009)