Latest AI and machine learning research in strokes for healthcare professionals.
Intracerebral haemorrhage (ICH) is a common form of stroke that affects millions of people worldwide...
The aim was to determine the profile of long-term symptoms after known and undetected SARS-CoV-2 inf...
Stroke is a leading global cause of death, with 80% of cases considered preventable through early de...
Teachers who are aware of their students' strengths and weakness can tailor their teaching methodolo...
In treating malignant cerebral edema after a large middle cerebral artery stroke, clinicians need qu...
Carpal Tunnel Syndrome (CTS) is the most common entrapment neuropathy, frequently presenting with pa...
Convolutional neural networks (CNNs), renowned for their efficiency in image analysis, have revoluti...
Coronary artery disease (CAD) is a leading cause of death globally. Antiplatelet therapy remains cru...
BACKGROUND: Idiopathic intracranial hypertension (IIH) is a vision-threatening disorder mainly affec...
BACKGROUND: Right ventricular (RV) myocardial perfusion has been touted as a primary mechanism to un...
AIMS: Branch atheromatous disease (BAD)-related stroke, caused by atherosclerotic occlusion at the o...
The implementation of artificial intelligence (AI), particularly Viz.ai software in stroke care, has...
SIGNIFICANCE: Stroke is a leading cause of disability worldwide, necessitating rapid and accurate di...
BACKGROUND: The incidence of ventilator-associated pneumonia (VAP) in ischemic stroke (IS) patients ...
PurposeTo identify parameters that are significant risk predictors of visual field (VF) progression ...
Artificial intelligence (AI) has emerged as a transformative tool in healthcare through data analysi...
BACKGROUND AND AIMS: Stroke remains a leading cause of mortality and long-term disability worldwide,...
BACKGROUND: Lower limb exoskeleton rehabilitation robot is a new technology to improve the lower lim...
Chronic diseases are a critical focus in the management of elderly health. Early disease prediction ...
Machine learning-based stroke lesion segmentation models are widely used in biomedical imaging, but ...
Patients with cardioembolic stroke often undergo CT of the left atrial appendage (LAA), for example,...