Latest AI and machine learning research in strokes for healthcare professionals.
BACKGROUND: Hypertension increases the risk of angiocardiopathy and cognitive disorder. Blood pressu...
Introduction Chronic subdural hematomas (cSDH) are common in neurosurgery with various symptoms and ...
BACKGROUND AND PURPOSE: Infarct volume is a valuable outcome measure in treatment trials of acute is...
BACKGROUND: With the character of high incidence, high prevalence and high mortality, stroke has bro...
Hypertension is a significant public health issue. The ability to predict the risk of developing hyp...
Automatic identification of brain lesions from magnetic resonance imaging (MRI) scans of stroke surv...
Percutaneous left ventricular assist devices (pVADs) require a continuous purge solution containing...
Our aim was to assess the utility of a novel machine learning software (Orbit Image Analysis) in the...
BACKGROUND: Different subtypes of ischemic stroke may have different risk factors, clinical features...
Nonvalvular atrial fibrillation (NVAF) is associated with an increased risk of stroke however many ...
Hypertension is a leading cause of mortality in the USA. While simple tools such as the sphygmomanom...
In patients with cryptogenic stroke, the detection of atrial fibrillation (AF) is important, since i...
Language impairment, or aphasia, is a disabling symptom that affects at least one third of individua...
Behavior provides important insights into neuronal processes. For example, analysis of reaching move...
BACKGROUND AND AIMS: Platelets and von Willebrand factor (vWF) are key factors in thrombosis and thu...
This study aimed to forecast the pattern of the demand for hemorrhagic stroke healthcare services ba...
PURPOSE: Acute ischemic stroke is one of the most causes of death all over the world. Onset to treat...
PURPOSE: The aim of this study was to develop an interactive deep learning-assisted identification o...
Stroke is a significant cause of morbidity and long-term disability globally. Detection of injured n...
BACKGROUND: Machine learning (ML) is a powerful tool for identifying and structuring several informa...
As an interdisciplinary subject of medicine and artificial intelligence, intelligent diagnosis and t...