AIMC Topic: Death, Sudden, Cardiac

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Substrate Spatial Complexity Analysis for the Prediction of Ventricular Arrhythmias in Patients With Ischemic Cardiomyopathy.

Circulation. Arrhythmia and electrophysiology Mar 18, 2020
BACKGROUND: Transition zones between healthy myocardium and scar form a spatially complex substrate that may give rise to reentrant ventricular arrhythmias (VAs). We sought to assess the utility of a novel machine learning approach for quantifying 3-...
Fourier Analysis Gadolinium DTPA Death, Sudden, Cardiac Arrhythmias, Cardiac Heart Rate Myocardial Ischemia Cardiomyopathies Diagnosis, Computer-Assisted Imaging, Three-Dimensional United States Contrast Media Magnetic Resonance Imaging Action Potentials Predictive Value of Tests Registries Ventricular Function, Left Stroke Volume Middle Aged Risk Assessment Female Risk Factors Aged Male Humans Machine Learning Prognosis Retrospective Studies
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Improving the clinical understanding of hypertrophic cardiomyopathy by combining patient data, machine learning and computer simulations: A case study.

Morphologie : bulletin de l'Association des anatomistes Sep 27, 2019
Most patients with hypertrophic cardiomyopathy (HCM), the most common genetic cardiac disease, remain asymptomatic, but others may suffer from sudden cardiac death. A better identification of those patients at risk, together with a better understandi...
Humans Machine Learning Cardiomyopathy, Hypertrophic Asymptomatic Diseases Models, Cardiovascular Death, Sudden, Cardiac Electrocardiography Magnetic Resonance Imaging Heart Ventricles Patient Selection Computer Simulation Clinical Decision-Making Risk Factors Risk Assessment
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Machine learning for prediction of sudden cardiac death in heart failure patients with low left ventricular ejection fraction: study protocol for a retroprospective multicentre registry in China.

BMJ open May 16, 2019
INTRODUCTION: Left ventricular ejection fraction (LVEF) ≤35%, as current significant implantable cardioverter-defibrillator (ICD) indication for primary prevention of sudden cardiac death (SCD) in heart failure (HF) patients, has been widely recognis...
Stroke Volume China Multicenter Studies as Topic Registries Heart Failure Death, Sudden, Cardiac Research Design Prospective Studies Humans Retrospective Studies Machine Learning Ventricular Function, Left
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Automated extraction of sudden cardiac death risk factors in hypertrophic cardiomyopathy patients by natural language processing.

International journal of medical informatics May 13, 2019
BACKGROUND: The management of hypertrophic cardiomyopathy (HCM) patients requires the knowledge of risk factors associated with sudden cardiac death (SCD). SCD risk factors such as syncope and family history of SCD (FH-SCD) as well as family history ...
Cardiomyopathy, Hypertrophic Death, Sudden, Cardiac Humans Risk Factors Algorithms Male Prognosis Middle Aged Electronic Health Records Natural Language Processing Female
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Artificial intelligence-augmented ECG assessment: The promise and the challenge.

Journal of cardiovascular electrophysiology Mar 11, 2019
Artificial Intelligence Electrocardiography Death, Sudden, Cardiac Humans
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Prediction of cardiac death after adenosine myocardial perfusion SPECT based on machine learning.

Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology Mar 14, 2018
BACKGROUND: We developed machine-learning (ML) models to estimate a patient's risk of cardiac death based on adenosine myocardial perfusion SPECT (MPS) and associated clinical data, and compared their performance to baseline logistic regression (LR)....
Middle Aged Risk Female Regression Analysis ROC Curve Humans Tomography, Emission-Computed, Single-Photon Reproducibility of Results Area Under Curve Support Vector Machine Machine Learning Death, Sudden, Cardiac Aged Heart Follow-Up Studies Algorithms Male Probability
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Novel fusion-based time-frequency analysis for early prediction of sudden cardiac death from electrocardiogram signals.

Medical engineering & physics Jul 1, 2025
Sudden cardiac death (SCD) is one of the leading causes of global mortality, often occurring without warning and driven by complex cardiac dynamics. Despite significant advances in cardiovascular diagnostics, accurately predicting SCD at an early sta...
Humans Time Factors Electrocardiography Signal Processing, Computer-Assisted Death, Sudden, Cardiac Female Male Middle Aged Deep Learning
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Near-term prediction of sustained ventricular arrhythmias applying artificial intelligence to single-lead ambulatory electrocardiogram.

European heart journal Jun 2, 2025
BACKGROUND AND AIMS: Accurate near-term prediction of life-threatening ventricular arrhythmias would enable pre-emptive actions to prevent sudden cardiac arrest/death. A deep learning-enabled single-lead ambulatory electrocardiogram (ECG) may identif...
Risk Assessment Deep Learning Electrocardiography, Ambulatory Tachycardia, Ventricular Death, Sudden, Cardiac Female Aged Humans Male Artificial Intelligence Middle Aged Retrospective Studies
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State of the Art of Artificial Intelligence in Clinical Electrophysiology in 2025: A Scientific Statement of the European Heart Rhythm Association (EHRA) of the ESC, the Heart Rhythm Society (HRS), and the ESC Working Group on E-Cardiology.

Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology May 7, 2025
AIMS: Artificial intelligence (AI) has the potential to transform cardiac electrophysiology (EP), particularly in arrhythmia detection, procedural optimization, and patient outcome prediction. However, a standardized approach to reporting and underst...
Death, Sudden, Cardiac Electrophysiologic Techniques, Cardiac Cardiac Electrophysiology Consensus Arrhythmias, Cardiac Atrial Fibrillation Checklist Humans Artificial Intelligence Delphi Technique
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[Early classification and recognition algorithm for sudden cardiac arrest based on limited electrocardiogram data trained with a two-stages convolutional neural network].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Aug 25, 2024
Sudden cardiac arrest (SCA) is a lethal cardiac arrhythmia that poses a serious threat to human life and health. However, clinical records of sudden cardiac death (SCD) electrocardiogram (ECG) data are extremely limited. This paper proposes an early ...
Humans Electrocardiography Signal Processing, Computer-Assisted Arrhythmias, Cardiac Heart Rate Neural Networks, Computer Algorithms Sensitivity and Specificity Deep Learning Death, Sudden, Cardiac
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