Latest AI and machine learning research in cardiovascular for healthcare professionals.
INTRODUCTION: About one-third of adults in the USA have some grade of hepatic steatosis. Coronary ar...
Assessing collateral circulation is essential in determining the best treatment for ischemic stroke ...
BACKGROUND: Thyroid nodules are frequent in clinical settings, and their diagnosis in adults is grow...
Cardiovascular disease is a common disease that threatens human health. In order to predict it more ...
BACKGROUND: Non-invasive brain stimulation (NIBS) is a promising approach to enhance upper extremity...
BACKGROUND: This study presents an artificial intelligence (AI) model for automated cardiothoracic r...
BACKGROUND: In aortic valve stenosis (AS), measurement of stroke volume index (SVi) by the 2D Dopple...
Nonspecific symptoms and other diagnostic challenges lead to underdiagnosis of cardiac amyloidosis (...
OBJECTIVE: Compare the image quality of image reconstructed using deep learning-based image reconstr...
Stroke is a main risk to life and fitness in current society, particularly in the aging population. ...
Atherosclerosis is the major cause of cardiovascular diseases worldwide, and AIDS linked with chroni...
The association between depression severity and cardiovascular health (CVH) represented by Life's E...
BACKGROUND: The allelic variations of the apolipoprotein E (APOE) gene play a critical role in regul...
CTOs are frequently encountered in patients undergoing invasive coronary angiography. Even though te...
BACKGROUND: The Coronary Artery Disease-Reporting and Data System (CAD-RADS) 2.0 offers standardized...
BACKGROUND: Considering that most patients with low or no significant risk factors can safely underg...
Conventional manual or feature-based ECG analysis methods are limited by time inefficiencies and hum...
Cardiovascular diseases remain one of the leading causes of death worldwide, placing a significant b...
BACKGROUND: Predicting the prognosis of patients with acute myocardial infarction (AMI) combined wit...
OBJECTIVE: Machine learning (ML) models have been extensively used for tabular data classification b...
N-Terminal Pro-Brain Natriuretic Peptide (NT-proBNP) is important for diagnosing and predicting hear...