Latest AI and machine learning research in cardiovascular for healthcare professionals.
PURPOSE: We examined whether end-to-end deep-learning models could detect moderate (≥50%) or severe ...
In recent years, machine learning has gained substantial attention for its ability to predict comple...
AIMS: Left ventricular hypertrophy (LVH) is a common clinical finding associated with adverse cardio...
Protein succinylation, a post-translational modification wherein a succinyl group (-CO-CHâ‚‚-CHâ‚‚-CO-) ...
Tiny machine learning (TinyML) and edge intelligence have emerged as pivotal paradigms for enabling ...
Quantitative assessment for post-stroke spasticity remains a significant challenge due to the encoun...
OBJECTIVES: The use of deep learning models for quantitative measurements on coronary computed tomog...
BACKGROUND: Detecting subtle patterns of atrial fibrillation (AF) and irregularities in Holter recor...
Recovering diagnostic-quality cardiac MR images from highly under-sampled data is a current research...
Cardiac disease refers to diseases that affect the heart such as coronary artery diseases, arrhythmi...
BackgroundIschemic stroke is a critical neurological condition, with infection representing a signif...
The initial evaluation of stenosis during coronary angiography is typically performed by visual asse...
INTRODUCTION: A simple risk stratification model to predict aneurysm sac shrinkagein patients underg...
BACKGROUND: This study aimed to determine whether artificial intelligence (AI)-based automated asses...
Heart disease remains a leading cause of mortality and morbidity worldwide, necessitating the develo...
INTRODUCTION: Delirium, frequently experienced by ischemic stroke patients, is one of the most commo...
BACKGROUND: Dabigatran etexilate (DABE), a prodrug of dabigatran (DAB), is a direct thrombin inhibit...
OBJECTIVES: Sufficient attention has not been given to machine learning (ML) models using longitudin...
OBJECTIVE: To evaluate the repeatability of AI-based automatic measurement of vertebral and cardiova...
BACKGROUND: Hypotension is associated with organ injury and death in surgical and critically ill pat...
In recent years, the healthcare data system has expanded rapidly, allowing for the identification of...