Latest AI and machine learning research in strokes for healthcare professionals.
At present, the majority of the proposed Deep Learning (DL) methods provide point predictions withou...
Current BP measurements are on the basis of traditional BP cuff approaches. Ambulatory BP monitoring...
To investigate the performance of a deep learning-based algorithm for fully automated quantification...
Dyspnea is one of the most common manifestations of patients with pulmonary disease, myocardial dysf...
BACKGROUND: Recent trials have shown promise in intra-arterial thrombectomy after the first 6-24āh o...
BACKGROUND: Activities of daily living frequently require children to make rapid decisions and execu...
The use of artificial intelligence in numerous prediction and classification tasks, including clinic...
BACKGROUND: This study aimed to establish and validate a machine learning-based model for the predic...
BACKGROUND: Cardiogenic stroke has increasing morbidity in China and brought economic burden to pati...
Fronto-temporal dementia (FTD) is a common type of presenile dementia, characterized by a heterogene...
The negative sample selection method is a key issue in studies of using machine learning approaches ...
Traumatic spinal cord injury is a serious neurological disorder. Patients experience a plethora of s...
This paper focus on a neural network classification model to estimate the association among gender, ...
BACKGROUND: The aim of the present study was to to assess the relative effectiveness of the various ...
Continuous blood pressure (BP) measurement is crucial for reliable and timely hypertension detection...
BACKGROUND: Stroke survivors often experience upper-limb motor deficits and achieve limited motor re...
Ischemic stroke is a common neurological disorder, and is still the principal cause of serious long-...
BACKGROUND: Low-molecular-weight heparins (LMWHs) are easily dialysable with high-flow membranes; ho...
Accurate, automated extraction of clinical stroke information from unstructured text has several imp...
Machine learning applications in cardiology have rapidly evolved in the past decade. With the availa...
BACKGROUND: Atypical walking in the months and years after stroke constrain community reintegration ...