Latest AI and machine learning research in myocardial infarction for healthcare professionals.
In this paper, we present a novel framework for enhancing model interpretability by integrating he...
AIMS: Coronary computed tomography angiography (CCTA) and magnetic resonance imaging (MRI) can predi...
Myocardial infarction is a major cause of death globally, and accurate early diagnosis from electr...
The diagnostic value of electrocardiogram (ECG) lies in its dynamic characteristics, ranging from ...
As with many parts of the natural sciences, machine learning interatomic potentials (MLIPs) are revo...
Hydrogel epidermis electrodes have demonstrated remarkable potential for stable electrophysiological...
$\textbf{Objective:}$ Brain-predicted age difference (BrainAGE) is a neuroimaging biomarker reflec...
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...
We present Heartcare Suite, a multimodal comprehensive framework for finegrained electrocardiogram...
Maintaining an active lifestyle is vital for quality of life, yet challenging for wheelchair users...
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...
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...
BACKGROUND: In this study, we established a deep neural network (DNN)-based predictive model, aiming...
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...