AIMC Topic: Death, Sudden, Cardiac

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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 Factors Risk Assessment Deep Learning Electrocardiography Humans Cardiomyopathy, Hypertrophic Death, Sudden, Cardiac Pilot Projects Genotype
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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...
Death, Sudden, Cardiac Ventricular Function, Left Stroke Volume Electrocardiography Heart Failure Humans Artificial Intelligence Risk Assessment Risk Factors
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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 Electrocardiography Humans Bayes Theorem Death, Sudden, Cardiac
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Deep learning a person's risk of sudden cardiac death.

Lancet (London, England) May 21, 2022
Humans Risk Factors Deep Learning Death, Sudden, Cardiac
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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...
Defibrillators, Implantable Death, Sudden, Cardiac Humans Artificial Intelligence Ventricular Function, Left Stroke Volume Risk Factors
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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...
Forensic Medicine Autopsy Humans Death, Sudden, Cardiac Artificial Intelligence Deep Learning
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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...
Clinical Trials as Topic Defibrillators, Implantable Primary Prevention Death, Sudden, Cardiac Artificial Intelligence Humans Decision Making Myocardial Infarction
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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...
Humans Machine Learning Long QT Syndrome Death, Sudden, Cardiac Electrocardiography Torsades de Pointes
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An approach to predict Sudden Cardiac Death (SCD) using time domain and bispectrum features from HRV signal.

Bio-medical materials and engineering Aug 12, 2016
In this paper we present a method to predict Sudden Cardiac Arrest (SCA) with higher order spectral (HOS) and linear (Time) features extracted from heart rate variability (HRV) signal. Predicting the occurrence of SCA is important in order to avoid t...
Signal Processing, Computer-Assisted Heart Rate Death, Sudden, Cardiac Support Vector Machine Algorithms Discriminant Analysis Databases, Factual Electrocardiography Humans
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Using EHRs and Machine Learning for Heart Failure Survival Analysis.

Studies in health technology and informatics Jan 1, 2015
"Heart failure (HF) is a frequent health problem with high morbidity and mortality, increasing prevalence and escalating healthcare costs" [1]. By calculating a HF survival risk score based on patient-specific characteristics from Electronic Health R...
Survival Analysis Aged Pattern Recognition, Automated Electronic Health Records Death, Sudden, Cardiac Male Minnesota Humans Female Population Surveillance Prevalence Machine Learning Heart Failure Risk Factors Natural Language Processing Data Mining
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