Latest AI and machine learning research in arrhythmias for healthcare professionals.
The diagnostic value of electrocardiogram (ECG) lies in its dynamic characteristics, ranging from ...
Large Language Models (LLMs) have demonstrated significant strides across various information retr...
Background: Deep learning has significantly advanced ECG arrhythmia classification, enabling high ...
Electrocardiography (ECG) signals are often degraded by noise, which complicates diagnosis in clin...
This paper addresses the persistent challenge of accurately digitizing paper-based electrocardiogr...
The rapid evolution of artificial intelligence (AI), together with the increased availability of soc...
We present Heartcare Suite, a multimodal comprehensive framework for finegrained electrocardiogram...
This study addresses the classification of heartbeats from ECG signals through two distinct approa...
BACKGROUND AND AIMS: Accurate near-term prediction of life-threatening ventricular arrhythmias would...
We propose a deep neural architecture that performs uncertainty-aware multi-view classification of...
The advent of multimodal large language models (MLLMs) has sparked interest in their application t...
The use of a hollow-core toroidal coil (HTC) as an induction detector allows for the analysis of ion...
Heart failure (HF) poses a significant public health challenge, with a rising global mortality rate....
Cardiac CT plays an important role in diagnosing heart diseases but is conventionally limited by its...
The performance and long-term health of athletes are significantly influenced by their cardiovascula...
In electrocardiography (ECG), measurement of QRS duration (QRSd) is crucial for diagnosing condition...
We propose a deep learning approach for beat-wise atrial fibrillation (AF) detection in electrocardi...
Cardiac arrhythmias are irregular heart rhythms that, if undetected, can lead to severe cardiovascul...
Coronary artery disease (CAD) is a major cause of mortality, especially among aging populations, mak...
BACKGROUND AND OBJECTIVE: The 12-lead electrocardiography (ECG) is a widely used diagnostic method i...
Secundum atrial septal defect (ASD2) detection is often delayed, with the potential for late diagnos...