AIMC Topic: Brugada Syndrome

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Brugada syndrome.

Nature reviews. Disease primers May 29, 2025
Brugada syndrome (BrS) is a cardiac channelopathy associated with an elevated risk of arrhythmias and sudden cardiac death compared with the general population. Since its initial description in 1992 by Pedro and Josep Brugada, there has been tremendo...
Electrocardiography Death, Sudden, Cardiac Brugada Syndrome Humans Prevalence
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Predicting and Recognizing Drug-Induced Type I Brugada Pattern Using ECG-Based Deep Learning.

Journal of the American Heart Association May 10, 2024
BACKGROUND: Brugada syndrome (BrS) has been associated with sudden cardiac death in otherwise healthy subjects, and drug-induced BrS accounts for 55% to 70% of all patients with BrS. This study aims to develop a deep convolutional neural network and ...
Electrocardiography Humans Predictive Value of Tests Retrospective Studies Brugada Syndrome Middle Aged Female Deep Learning Adult Male Ajmaline
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Healthcare Big Data in Hong Kong: Development and Implementation of Artificial Intelligence-Enhanced Predictive Models for Risk Stratification.

Current problems in cardiology Oct 21, 2023
Routinely collected electronic health records (EHRs) data contain a vast amount of valuable information for conducting epidemiological studies. With the right tools, we can gain insights into disease processes and development, identify the best treat...
Humans Artificial Intelligence Big Data Hong Kong Delivery of Health Care Brugada Syndrome Risk Assessment
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Prediction of the Presence of Ventricular Fibrillation From a Brugada Electrocardiogram Using Artificial Intelligence.

Circulation journal : official journal of the Japanese Circulation Society Nov 12, 2022
BACKGROUND: Brugada syndrome is a potential cause of sudden cardiac death (SCD) and is characterized by a distinct ECG, but not all patients with A Brugada ECG develop SCD. In this study we sought to examine if an artificial intelligence (AI) model c...
Humans Artificial Intelligence Retrospective Studies Brugada Syndrome Electrocardiography Ventricular Fibrillation Death, Sudden, Cardiac
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Use of Wearable Technology and Deep Learning to Improve the Diagnosis of Brugada Syndrome.

JACC. Clinical electrophysiology Jun 29, 2022
BACKGROUND: The diagnosis of Brugada syndrome by 12-lead electrocardiography (ECG) is challenging because the diagnostic type 1 pattern is often transient.
Electrocardiography Brugada Syndrome Procainamide Deep Learning Wearable Electronic Devices Humans
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The BrAID study protocol: integration of machine learning and transcriptomics for brugada syndrome recognition.

BMC cardiovascular disorders Oct 13, 2021
BACKGROUND: Type 1 Brugada syndrome (BrS) is a hereditary arrhythmogenic disease showing peculiar electrocardiographic (ECG) patterns, characterized by ST-segment elevation in the right precordial leads, and risk of Sudden Cardiac Death (SCD). Furthe...
Prospective Studies Prognosis Retrospective Studies Reproducibility of Results Gene Expression Profiling Humans Italy Machine Learning Signal Processing, Computer-Assisted Research Design Workflow Electrocardiography Heart Rate Action Potentials Transcriptome Brugada Syndrome Predictive Value of Tests Diagnosis, Computer-Assisted
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From a Polish 3-Year-Old Boy Who Visited Maastricht to Automatic Detection Using Deep Learning: Brugada Syndrome Is Being Revolutionised.

The Canadian journal of cardiology Sep 24, 2021
Poland Electrocardiography Deep Learning Brugada Syndrome Humans Child, Preschool Male
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A Deep Learning-Enabled Electrocardiogram Model for the Identification of a Rare Inherited Arrhythmia: Brugada Syndrome.

The Canadian journal of cardiology Aug 28, 2021
BACKGROUND: Brugada syndrome is a major cause of sudden cardiac death in young people and has distinctive electrocardiographic (ECG) features. We aimed to develop a deep learning-enabled ECG model for automatic screening for Brugada syndrome to ident...
Follow-Up Studies Taiwan Rare Diseases Incidence Electrocardiography Male Brugada Syndrome Diagnosis, Computer-Assisted Female Middle Aged Deep Learning Young Adult Humans Adolescent Retrospective Studies Adult
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Modern Day Wearables to Evade the Widow-Ghost in Brugada Syndrome: From Mythology to Deep-Learning Methodology.

JACC. Clinical electrophysiology Aug 1, 2022
Mythology Widowhood Humans Female Deep Learning Wearable Electronic Devices Brugada Syndrome
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