AIMC Topic: Death, Sudden, Cardiac

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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...
Delphi Technique Consensus Arrhythmias, Cardiac Humans Artificial Intelligence Death, Sudden, Cardiac Electrophysiologic Techniques, Cardiac Cardiac Electrophysiology Atrial Fibrillation Checklist
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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 Heart Rate Death, Sudden, Cardiac Arrhythmias, Cardiac Sensitivity and Specificity Deep Learning Neural Networks, Computer Algorithms
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Deep learning-derived 12-lead electrocardiogram-based genotype prediction for hypertrophic cardiomyopathy: a pilot study.

Annals of medicine Dec 1, 2023
Given the psychosocial and ethical burden, patients with hypertrophic cardiomyopathy (HCMs) could benefit from the establishment of genetic probability prior to the test. This study aimed to develop a simple tool to provide genotype prediction for H...
Risk Assessment Deep Learning Pilot Projects Humans Risk Factors Cardiomyopathy, Hypertrophic Death, Sudden, Cardiac Genotype Electrocardiography
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Improved prediction of sudden cardiac death in patients with heart failure through digital processing of electrocardiography.

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 Mar 30, 2023
AIMS: Available predictive models for sudden cardiac death (SCD) in heart failure (HF) patients remain suboptimal. We assessed whether the electrocardiography (ECG)-based artificial intelligence (AI) could better predict SCD, and also whether the com...
Stroke Volume Risk Assessment Heart Failure Death, Sudden, Cardiac Electrocardiography Risk Factors Ventricular Function, Left Humans Artificial Intelligence
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Sudden cardiac death multiparametric classification system for Chagas heart disease's patients based on clinical data and 24-hours ECG monitoring.

Mathematical biosciences and engineering : MBE Mar 14, 2023
About 6.5 million people are infected with Chagas disease (CD) globally, and WHO estimates that $ > million people worldwide suffer from ChHD. Sudden cardiac death (SCD) represents one of the leading causes of death worldwide and affects approximatel...
Machine Learning Risk Assessment Bayes Theorem Humans Death, Sudden, Cardiac Electrocardiography
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Deep learning a person's risk of sudden cardiac death.

Lancet (London, England) May 21, 2022
Deep Learning Humans Death, Sudden, Cardiac Risk Factors
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Fighting against sudden cardiac death: need for a paradigm shift-Adding near-term prevention and pre-emptive action to long-term prevention.

European heart journal Apr 14, 2022
More than 40 years after the first implantable cardioverter-defibrillator (ICD) implantation, sudden cardiac death (SCD) still accounts for more than five million deaths worldwide every year. Huge efforts in the field notwithstanding, it is now incre...
Risk Factors Ventricular Function, Left Defibrillators, Implantable Death, Sudden, Cardiac Stroke Volume Humans Artificial Intelligence
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[Deep Learning-Based Cardiac Imaging Data Measurement and Its Application in Diagnosis of Sudden Cardiac Death].

Fa yi xue za zhi Aug 1, 2021
In the field of forensic medicine, diagnosis of sudden cardiac death is limited by subjective factors and manual measurement methods, so some parameters may have estimation deviation or measurement deviation. As postmortem CT imaging plays a more and...
Autopsy Death, Sudden, Cardiac Artificial Intelligence Humans Deep Learning Forensic Medicine
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Ethical issues in two parallel trials of personalised criteria for implantation of implantable cardioverter defibrillators for primary prevention: the PROFID project-a position paper.

Open heart Jul 1, 2021
AIM: To discuss ethical issues related to a complex study (PROFID) involving the development of a new, partly artificial intelligence-based, prediction model to enable personalised decision-making about the implantation of an implantable cardioverter...
Defibrillators, Implantable Primary Prevention Death, Sudden, Cardiac Myocardial Infarction Artificial Intelligence Humans Clinical Trials as Topic Decision Making
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Emerging Concepts and Applied Machine Learning Research in Patients with Drug-Induced Repolarization Disorders.

Studies in health technology and informatics Jun 16, 2020
The paper presents a review of current research to develop predictive models for automated detection of drug-induced repolarization disorders and shows a feasibility study for developing machine learning tools trained on massive multimodal datasets o...
Death, Sudden, Cardiac Electrocardiography Humans Torsades de Pointes Machine Learning Long QT Syndrome
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