Latest AI and machine learning research in strokes for healthcare professionals.
INTRODUCTION: Stroke is a significant global public health challenge, ranking as the second leading ...
Stroke remains a leading cause of death and disability worldwide. While well-established risk factor...
Rapid respiratory rate (RR) changes in older adults may indicate serious illness. Therefore, accurat...
: Falls among the elderly are a major public health concern, leading to increased disability and mor...
Cerebrovascular accident (CVA), commonly known as stroke, stands as a significant contributor to con...
OBJECTIVES: To evaluate the value of employing artificial intelligence (AI)-assisted CT pulmonary an...
Stroke-associated pneumonia (SAP) is a serious complication of acute ischemic stroke (AIS), signific...
Intracerebral haemorrhage (ICH) is a common form of stroke that affects millions of people worldwide...
Stroke is a leading global cause of death, with 80% of cases considered preventable through early de...
The aim was to determine the profile of long-term symptoms after known and undetected SARS-CoV-2 inf...
Teachers who are aware of their students' strengths and weakness can tailor their teaching methodolo...
Convolutional neural networks (CNNs), renowned for their efficiency in image analysis, have revoluti...
Carpal Tunnel Syndrome (CTS) is the most common entrapment neuropathy, frequently presenting with pa...
BACKGROUND: Idiopathic intracranial hypertension (IIH) is a vision-threatening disorder mainly affec...
Coronary artery disease (CAD) is a leading cause of death globally. Antiplatelet therapy remains cru...
BACKGROUND: Right ventricular (RV) myocardial perfusion has been touted as a primary mechanism to un...
The implementation of artificial intelligence (AI), particularly Viz.ai software in stroke care, has...
BACKGROUND: The incidence of ventilator-associated pneumonia (VAP) in ischemic stroke (IS) patients ...
Artificial intelligence (AI) has emerged as a transformative tool in healthcare through data analysi...
PurposeTo identify parameters that are significant risk predictors of visual field (VF) progression ...
OBJECTIVE: To determine whether a robotic-assisted intervention increases hip flexor muscle strength...