Latest AI and machine learning research in cardiovascular for healthcare professionals.
Cardiac Amyloidosis (CA) occurs when misfolded proteins accumulate in the heart muscle, leading to r...
PURPOSE: Cardiac cine magnetic resonance imaging (MRI) is an important tool in assessing dynamic hea...
Brain-computer interfaces (BCIs) are promising tools for motor neurorehabilitation. Achieving a bala...
Blood pressure is a very important clinical measurement, offering valuable insights into the hemodyn...
In order to evaluate the relationship between coronary heart disease (CHD) and fractional flow reser...
BACKGROUND: Proprotein convertase subtilisin/kexin type 9 inhibitors stabilize vulnerable plaque, re...
PURPOSE: The search for heart components in robotic transthoracic echocardiography is a time-consumi...
The increasing integration of telehealth systems underscores the importance of robust and secure met...
BACKGROUND: Delivering HD-tDCS on individual motor hotspot with optimal electric fields could overco...
The prevalence and predictors of mortality following an ischemic stroke or intracerebral hemorrhage ...
To compare the image quality and fat attenuation index (FAI) of coronary artery CT angiography (CCTA...
OBJECTIVE: To evaluate radiation dose and image quality of a double-low CCTA protocol reconstructed ...
BACKGROUND: Hip fracture and acute ischemic stroke (AIS) are prevalent conditions among the older po...
PURPOSE: The purpose of this study was to investigate the added value of artificial intelligence (AI...
INTRODUCTION: Data collection often relies on time-consuming manual inputs, with a vast amount of in...
BACKGROUND: Diagnosis of cardiac amyloidosis (CA) is often delayed due to variability in clinical pr...
Ischemic stroke (IS) is a severe condition regulated by complex molecular alterations. This study ai...
There are two widely used methods to measure the cardiac cycle and obtain heart rate measurements: t...
BACKGROUND: Robot-Assisted Gait Training (RAGT) is a novel technology widely employed in the field o...
OBJECTIVE: The study objective was to develop and validate an interpretable machine learning model t...
BACKGROUND: The development and progression of aortic stenosis (AS) from aortic valve (AV) sclerosis...