Cardiovascular

Arrhythmias

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

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Showing 1765-1785 of 2,496 articles
Self-supervised learning for low-dose CT image denoising method based on guided image filtering.

low-dose computed tomography (LDCT) images suffer from severe noise due to reduced radiation exposur...

Jul 2025 40562063
Cardiorespiratory coupling improves cardiac pumping efficiency in heart failure

Recent trials of a neuronal pacemaker have shown that cardiac pumping efficiency increases when re...

Not All Attention Heads Are What You Need: Refining CLIP's Image Representation with Attention Ablation

This paper studies the role of attention heads in CLIP's image encoder. While CLIP has exhibited r...

Traditional Chinese Medicine for Anti-Arrhythmias: Mechanisms via Potassium Channels.

Cardiac arrhythmia is a common life-threatening cardiovascular disorder. Potassium channels play a c...

(2)
Jul 2025 40457930
Turbulence control in memristive neural network via adaptive magnetic flux based on DLS-ADMM technique.

High-voltage defibrillation for eliminating cardiac spiral waves has significant side effects, neces...

(2)
Jul 2025 40101556
Interpretable AI for Time-Series: Multi-Model Heatmap Fusion with Global Attention and NLP-Generated Explanations

In this paper, we present a novel framework for enhancing model interpretability by integrating he...

Improving Myocardial Infarction Detection via Synthetic ECG Pretraining

Myocardial infarction is a major cause of death globally, and accurate early diagnosis from electr...

Masked Autoencoders that Feel the Heart: Unveiling Simplicity Bias for ECG Analyses

The diagnostic value of electrocardiogram (ECG) lies in its dynamic characteristics, ranging from ...

InsertRank: LLMs can reason over BM25 scores to Improve Listwise Reranking

Large Language Models (LLMs) have demonstrated significant strides across various information retr...

Diffusion-Based Electrocardiography Noise Quantification via Anomaly Detection

Electrocardiography (ECG) signals are often degraded by noise, which complicates diagnosis in clin...

Deep Learning-Based Digitization of Overlapping ECG Images with Open-Source Python Code

This paper addresses the persistent challenge of accurately digitizing paper-based electrocardiogr...

An epidemiological knowledge graph extracted from the World Health Organization's Disease Outbreak News.

The rapid evolution of artificial intelligence (AI), together with the increased availability of soc...

(1)
Jun 2025 40494870
Heartcare Suite: Multi-dimensional Understanding of ECG with Raw Multi-lead Signal Modeling

We present Heartcare Suite, a multimodal comprehensive framework for finegrained electrocardiogram...

Heart Rate Classification in ECG Signals Using Machine Learning and Deep Learning

This study addresses the classification of heartbeats from ECG signals through two distinct approa...

Near-term prediction of sustained ventricular arrhythmias applying artificial intelligence to single-lead ambulatory electrocardiogram.

BACKGROUND AND AIMS: Accurate near-term prediction of life-threatening ventricular arrhythmias would...

Jun 2025 40157386
Uncertainty-Aware Multi-view Arrhythmia Classification from ECG

We propose a deep neural architecture that performs uncertainty-aware multi-view classification of...

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anyECG-chat: A Generalist ECG-MLLM for Flexible ECG Input and Multi-Task Understanding

The advent of multimodal large language models (MLLMs) has sparked interest in their application t...

Full duty cycle laser ablation plasma spectrometry (LAPS) combining a hollow-core toroidal coil with artificial intelligence classification.

The use of a hollow-core toroidal coil (HTC) as an induction detector allows for the analysis of ion...

(1)
Jun 2025 40476855
Large Language Model-informed ECG Dual Attention Network for Heart Failure Risk Prediction.

Heart failure (HF) poses a significant public health challenge, with a rising global mortality rate....

(1)
Jun 2025 40524840
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