Cardiovascular

Arrhythmias

Latest AI and machine learning research in arrhythmias for healthcare professionals.

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Deep Learning Model for High-Accuracy Classification of Premature Ventricular Contractions With Precordial Transition Zones in Leads V3 or V4.

BACKGROUND: Predicting the origin of premature ventricular contractions (PVCs) is challenging when a...

Nov 2025 41297935
Spectral anomaly detection in physiological time-series data: A systematic review.

BACKGROUND: The identification of anomalies in physiological time-series data, specifically ECG and ...

Nov 2025 41411902
Sleep stage classification from ECG using machine learning: Evaluating the impact of signal duration.

Sleep stage flagging is critical for diagnosing conditions like insomnia, sleep apnea, and narcoleps...

(1)
Nov 2025 41404494
Agreement of the performance of equine electrocardiogram recording devices for ECG complexity analysis.

BACKGROUND: Non-linear equine electrocardiography (ECG) analysis is an actively developing study are...

Nov 2025 41266125
Development of a predictive model for eosinophilia in patients treated with ampicillin/sulbactam or piperacillin/tazobactam.

AIM: We aim to identify risk factors for antibiotic-induced eosinophilia in hospitalized patients re...

Nov 2025 41257433
Targetable atrial tachycardias after artificial intelligence-guided ablation of persistent atrial fibrillation.

BACKGROUND: The TAILORED-AF randomized trial demonstrated that artificial intelligence-guided ablati...

Nov 2025 41242590
Intelligent ensemble learning-enhanced finite element modeling for precision thermal ablation in cancer therapy.

BACKGROUND: Microwave ablation (MWA) is a minimally invasive treatment for liver tumors, yet accurat...

(1)
Nov 2025 41252870
Deep learning for automatic detection of hepatocellular carcinoma in dynamic contrast-enhanced MRI.

OBJECTIVE: Develop a deep learning model for automatic hepatocellular carcinoma (HCC) detection in T...

Nov 2025 41217478
Deep learning algorithm for detection of acute heart failure using standard ECG waveforms.

AIMS: To develop and evaluate a deep learning model for immediate and accurate diagnosis of acute he...

Nov 2025 41624566
Predicting Heart Failure From 12-Lead ECGs Using AI: A HeartShare/AMP-HF Pooled Cohort Analysis.

BACKGROUND: Artificial intelligence applied to electrocardiograms (ECG-AI) offers a scalable approac...

Nov 2025 41493294
Exploring latent diffusion models for ECG generation on the minute scale.

BACKGROUND AND OBJECTIVE: Artificial Intelligence (AI) models for electrocardiogram (ECG) interpreta...

(1)
Nov 2025 41205561
Multimodal deep learning for acute myocardial infarction detection from 12-lead electrocardiogram: a multi-centre study with cross-hospital validation.

AIMS: Acute myocardial infarction (AMI) remains a leading global cause of mortality, where timely di...

Oct 2025 41624556
Multi-modal deep-learning troponin prediction from electrocardiograms and demographic data.

AIMS: Electrocardiograms (ECGs) and troponin (Tn) testing are essential tools for the diagnosis and ...

Oct 2025 41624563
Machine learning-enabled assessment of risk of drug-induced QT prolongation at the time of prescribing.

BACKGROUND: Many medications are associated with long QTc. Current long QTc predictors have limited ...

Oct 2025 41139036
Real-Time Phase-Contrast Cardiovascular MRI Using a Deep Learning Reconstruction Network With Combined Dictionary Learning and CNN.

PURPOSE: This study aims to develop real-time phase-contrast (PC) cardiovascular MRI with low latenc...

Oct 2025 41108209
Sleep disturbance recorded via wearable sensors predicts depression severity 9 years later.

BACKGROUND: Major depressive disorder (MDD) is prevalent and poses major public health implications....

Oct 2025 41106621
Feature extraction and intelligent diagnosis of ECG signals based on KANs and xLSTM.

Cardiovascular disease (CVD) is the top cause of mortality globally, making it crucial to diagnose a...

Oct 2025 41110222
Image based artificial intelligence-enhanced electrocardiogram prediction of incident atrial fibrillation.

BACKGROUND: Early prediction of atrial fibrillation (AF) is crucial for reducing adverse outcomes. W...

Oct 2025 41101371
Newton-Puiseux analysis for interpretability and calibration of complex-valued neural networks.

Complex-valued neural networks (CVNNs) are particularly suitable for handling phase-sensitive signal...

Oct 2025 41109171
GDT-Net: Multi-level feature extraction network for precise diagnosis of atrial and ventricular fibrillation.

Atrial fibrillation (AFIB) and ventricular fibrillation (VFIB) are two critical cardiovascular disea...

Oct 2025 41086643
GAN-based novel feature selection approach with hybrid deep learning for heartbeat classification from ECG signal.

Heart arrhythmias are one of the most important categories of cardiovascular illness. A heartbeat th...

Sep 2025 41046784
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