Artificial intelligence and machine learning in arrhythmias and cardiac electrophysiology
Artificial intelligence (AI) and machine learning (ML) in medicine are currently areas of
intense exploration, showing potential to automate human tasks and even perform tasks …
intense exploration, showing potential to automate human tasks and even perform tasks …
Machine learning in arrhythmia and electrophysiology
Machine learning (ML), a branch of artificial intelligence, where machines learn from big
data, is at the crest of a technological wave of change sweeping society. Cardiovascular …
data, is at the crest of a technological wave of change sweeping society. Cardiovascular …
Arrhythmic sudden death survival prediction using deep learning analysis of scarring in the heart
Sudden cardiac death from arrhythmia is a major cause of mortality worldwide. In this study,
we developed a novel deep learning (DL) approach that blends neural networks and …
we developed a novel deep learning (DL) approach that blends neural networks and …
Ventricular arrhythmias in ischemic cardiomyopathy—New avenues for mechanism-guided treatment
M Amoni, E Dries, S Ingelaere, D Vermoortele… - Cells, 2021 - mdpi.com
Ischemic heart disease is the most common cause of lethal ventricular arrhythmias and
sudden cardiac death (SCD). In patients who are at high risk after myocardial infarction …
sudden cardiac death (SCD). In patients who are at high risk after myocardial infarction …
Machine learning in sudden cardiac death risk prediction: a systematic review
Aims Most patients who receive implantable cardioverter defibrillators (ICDs) for primary
prevention do not receive therapy during the lifespan of the ICD, whilst up to 50% of sudden …
prevention do not receive therapy during the lifespan of the ICD, whilst up to 50% of sudden …
From evidence-based medicine to digital twin technology for predicting ventricular tachycardia in ischaemic cardiomyopathy
AGW de Lepper, CMA Buck… - Journal of the …, 2022 - royalsocietypublishing.org
Survivors of myocardial infarction are at risk of life-threatening ventricular tachycardias (VTs)
later in their lives. Current guidelines for implantable cardioverter defibrillators (ICDs) …
later in their lives. Current guidelines for implantable cardioverter defibrillators (ICDs) …
[HTML][HTML] Artificial intelligence in ventricular arrhythmias and sudden death
Sudden cardiac arrest due to lethal ventricular arrhythmias is a major cause of mortality
worldwide and results in more years of potential life lost than any individual cancer. Most of …
worldwide and results in more years of potential life lost than any individual cancer. Most of …
Whole-heart ventricular arrhythmia modeling moving forward: Mechanistic insights and translational applications
Ventricular arrhythmias are the primary cause of sudden cardiac death and one of the
leading causes of mortality worldwide. Whole-heart computational modeling offers a unique …
leading causes of mortality worldwide. Whole-heart computational modeling offers a unique …
An ECG-based artificial intelligence model for assessment of sudden cardiac death risk
L Holmstrom, H Chugh, K Nakamura, Z Bhanji… - Communications …, 2024 - nature.com
Background Conventional ECG-based algorithms could contribute to sudden cardiac death
(SCD) risk stratification but demonstrate moderate predictive capabilities. Deep learning …
(SCD) risk stratification but demonstrate moderate predictive capabilities. Deep learning …
Artificial intelligence-augmented propensity score, cost effectiveness and computational ethical analysis of cardiac arrest and active cancer with novel mortality …
DJ Monlezun, O Sinyavskiy, N Peters, L Steigner… - Medicina, 2022 - mdpi.com
Background and objectives: Little is known about outcome improvements and disparities in
cardiac arrest and active cancer. We performed the first known AI and propensity score (PS) …
cardiac arrest and active cancer. We performed the first known AI and propensity score (PS) …