Latest AI and machine learning research in congestive heart failure for healthcare professionals.
Wearable and cuffless blood pressure (BP) monitoring hold great promise for preventive hypertension ...
Cardiac myosin inhibitors (CMIs) have revolutionized care for patients with obstructive hypertrophic...
Sleep disorders pose a major global health burden and are associated with a wide range of adverse he...
The scientific literature on artificial intelligence-enabled electrocardiography (AI-ECG) has define...
Diffuse myocardial fibrosis contributes to adverse remodeling and heart failure progression in non-i...
Several artificial intelligence-enhanced electrocardiogram (AI-ECG) models have shown promise in det...
Pericardial effusion can progress to life-threatening cardiac tamponade when large or rapidly accumu...
To develop and validate machine learning models for predicting Blood Pressure (BP) control status us...
Cardiovascular disease (CVD) remains the leading cause of mortality globally, with many events occur...
The accurate non-invasive detection and estimation of central aortic pressure waveforms (CAPW) are c...
INTRODUCTION: Stroke patients are at high risk of developing cerebral edema, which can have severe c...
The rapid adaptation of data driven AI models, such as deep learning inference, training, Vision T...
Vector quantization(VQ) is a hardware-friendly DNN compression method that can reduce the storage ...
The segmentation and classification of cardiac magnetic resonance imaging are critical for diagnos...
PURPOSE: Identify optimal metabolic features and pathways across diabetic retinopathy (DR) stages, d...
To explore the value of predicting new-onset heart failure events in patients with hypertrophic car...
Traditional Chinese Medicine (TCM) involves complex compatibility mechanisms characterized by mult...
The left ventricular end-systolic pressure-volume relationship (ESPVr) is a key indicator of cardi...
Modern transformer-based deep neural networks present unique technical challenges for effective ac...
Cardiovascular diseases are best diagnosed using multiple modalities that assess both the heart's ...
In this paper, we introduce a novel Multi-Modal Contrastive Pre-training Framework that synergisti...