Latest AI and machine learning research in cardiovascular for healthcare professionals.
OBJECTIVE: Poststroke spasticity reduces arm function and leads to low levels of independence. This ...
Analyzing the basal ganglia following an early brain lesion is crucial due to their noteworthy role ...
The rapid growth in computational power, sensor technology, and wearable devices has provided a soli...
BACKGROUND: Posterior Circulation Syndrome (PCS) presents a diagnostic challenge characterized by it...
Cardiovascular and cerebrovascular diseases (CCVD) are prominent mortality causes in Japan, necessit...
Cardiac electrical changes associated with ischemic heart disease (IHD) are subtle and could be dete...
OBJECTIVE: Non-sustained supraventricular tachycardia (nsSVT) is associated with a higher risk of de...
AIM: To develop and validate a deep learning (DL) algorithm for the automated detection and classifi...
Patients with moderate aortic stenosis (AS) have a greater risk of adverse clinical outcomes than th...
Carotid atherosclerosis plays a substantial role in cardiovascular morbidity and mortality. Given th...
Deep neural networks have become increasingly popular for analyzing ECG data because of their abilit...
The fetal electrocardiogram (FECG) records changes in the graph of fetal cardiac action potential du...
Large randomized trials in sepsis have generally failed to find effective novel treatments. This is ...
Causalityholds profound potentials to dissipate confusion and improve accuracy in cuffless continuou...
Cardiac valve event timing plays a crucial role when conducting clinical measurements using echocard...
Poststroke injuries limit the daily activities of patients and cause considerable inconvenience. The...
In the fetal cardiac ultrasound examination, standard cardiac cycle (SCC) recognition is the essenti...
Developing an efficient heartbeat monitoring system has become a focal point in numerous healthcare ...
Robot-assisted motor training is applied for neurorehabilitation in stroke patients, using motor ima...
AIMS: Electronic health records (EHR) linked to Digital Imaging and Communications in Medicine (DICO...
Blood vessel segmentation is a crucial stage in extracting morphological characteristics of vessels ...