Latest AI and machine learning research in cardiovascular for healthcare professionals.
The utilization of motor imagery-based brain-computer interfaces (MI-BCI) has been shown to assist s...
Numerous Deep Learning (DL) scenarios have been developed for evolving new healthcare systems that l...
Finger dexterity, and finger individuation in particular, is crucial for human movement, and disrupt...
PURPOSE OF REVIEW: Though simple in its fundamental mechanism - a critical disruption of local blood...
Pulmonary hypertension (PH) is a serious prognostic complication in patients with systemic sclerosis...
BACKGROUND: Post-stroke epilepsy (PSE) is a critical complication that worsens both prognosis and qu...
BACKGROUND: Stroke is a significant global health concern, ranking as the second leading cause of de...
OBJECTIVE: To assess the viability of using ultra-low radiation and contrast medium (CM) dosage in a...
The chest X-ray (CXR) has a wide range of clinical indications in the field of cardiology, from the ...
BACKGROUND: Three-dimensional gait analysis, supported by advanced sensor systems, is a crucial comp...
This paper proposes the use of machine learning models to predict one's risk of having hypertension ...
Acute stroke management involves rapid and accurate interpretation of CTA imaging data. However, gen...
Arterial stiffness has emerged as a prominent marker of risk for cardiovascular diseases. Few studie...
BACKGROUND: Speckle tracking echocardiography (STE) provides quantification of left ventricular (LV)...
BACKGROUND: Stroke leads to reduced mobility and functional capacity, also negatively affects respir...
Gravity, an invisible but constant force , challenges the regulation of blood pressure when transiti...
Binarized convolutional neural networks (bCNNs) are favored for the design of low-storage, low-power...
BACKGROUND: Post-stroke dementia (PSD), a common complication, diminishes rehabilitation efficacy an...
Transthoracic echocardiography (TTE) is widely recognized as one of the principal modalities for dia...
Deep learning (DL) is becoming increasingly important in generating attenuation maps for accurate at...
BACKGROUND: Gender influences cardiovascular disease (CVD) through norms, social relations, roles an...