Latest AI and machine learning research in cardiovascular for healthcare professionals.
RATIONALE AND OBJECTIVES: To develop an interpretable machine learning (ML) model based on cardiac m...
BACKGROUND: Major adverse cardiovascular events (MACEs) are severe complications of peripheral arter...
BACKGROUND AND OBJECTIVE: Atherogenicity indices have emerged as promising markers for cardiometabol...
Coronary functional assessment plays a critical role in guiding decisions regarding coronary revascu...
BACKGROUND: Accurate interpretation of genetic variants still represents a major challenge. Accordin...
Cardiac fibrosis, characterized by excessive extracellular matrix deposition, is a critical contribu...
Cerebrovascular accident (CVA), commonly known as stroke, stands as a significant contributor to con...
This study explores nursing students' stress responses while they are being trained in a mixed reali...
: Artificial intelligence (AI) is poised to significantly impact the future of cardiology and electr...
Left ventricle (LV) segmentation is crucial for cardiac diagnosis but remains challenging in echocar...
Coronary CT angiography (CCTA) has seen steady progress since its inception, becoming a key player i...
Integrating Artificial Intelligence (AI) with electrocardiograms (ECG) represents a transformative s...
OBJECTIVES: To evaluate the value of employing artificial intelligence (AI)-assisted CT pulmonary an...
Atrial fibrillation (AF) has been a prevalent and serious arrhythmia associated with increased morbi...
Neuroimaging screening and surveillance is one of the first frontline diagnostic tools leveraged in ...
BACKGROUND: The study aimed to develop an interpretable machine learning (ML) model to assess and st...
INTRODUCTION: Premature Ventricular Contractions (PVCs) can be warning signs for serious cardiac con...
Stroke-associated pneumonia (SAP) is a serious complication of acute ischemic stroke (AIS), signific...
BACKGROUND: In-hospital cardiac arrest (IHCA) is a major adverse event with a high death risk. Machi...