Latest AI and machine learning research in strokes for healthcare professionals.
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, ...
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 ...
MOTIVATION: Machine learning (ML)-based stroke risk stratification systems have typically focused on...
Functional electrical stimulation and robot-assisted gait training are techniques which are used in ...
Comorbidities such as anemia or hypertension and physiological factors related to exertion can influ...
BACKGROUND: Pregnant women with mechanical heart valves are at significant risk of obstetric/cardiac...
Hypertension is a potentially unsafe health ailment, which can be indicated directly from the blood ...
In this paper, we demonstrate the feasibility and performance of deep residual neural networks for v...
Most post-stroke patients experience upper limb functionality challenges. Emergent therapies using u...