Cardiovascular

Strokes

Latest AI and machine learning research in strokes for healthcare professionals.

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Automatic identification of atherosclerosis subjects in a heterogeneous MR brain imaging data set.

Carotid-artery atherosclerosis (CA) contributes significantly to overall morbidity and mortality in ...

Collateral Automation for Triage in Stroke: Evaluating Automated Scoring of Collaterals in Acute Stroke on Computed Tomography Scans.

Computed tomography angiography (CTA) collateral scoring can identify patients most likely to benefi...

Computer-Aided Diagnosis and Clinical Trials of Cardiovascular Diseases Based on Artificial Intelligence Technologies for Risk-Early Warning Model.

The use of artificial intelligence in medicine is currently an issue of great interest, especially w...

Isokinetic Robotic Device to Improve Test-Retest and Inter-Rater Reliability for Stretch Reflex Measurements in Stroke Patients with Spasticity.

Measuring spasticity is important in treatment planning and determining efficacy after treatment. Ho...

Adjusting the dose in paediatric care: dispersing four different aspirin tablets and taking a proportion.

OBJECTIVES: When caring for children in a hospital setting, tablets are often manipulated at the war...

Ensemble of Convolutional Neural Networks Improves Automated Segmentation of Acute Ischemic Lesions Using Multiparametric Diffusion-Weighted MRI.

BACKGROUND AND PURPOSE: Accurate automated infarct segmentation is needed for acute ischemic stroke ...

The Use of Deep Learning to Predict Stroke Patient Mortality.

The increase in stroke incidence with the aging of the Korean population will rapidly impose an econ...

Robot assisted training for the upper limb after stroke (RATULS): a multicentre randomised controlled trial.

BACKGROUND: Loss of arm function is a common problem after stroke. Robot-assisted training might imp...

A Precision Environment-Wide Association Study of Hypertension via Supervised Cadre Models.

We consider the problem in precision health of grouping people into subpopulations based on their de...

Adaptive Feature Recombination and Recalibration for Semantic Segmentation With Fully Convolutional Networks.

Fully convolutional networks have been achieving remarkable results in image semantic segmentation, ...

Effect of repetitive transcranial magnetic stimulation combined with robot-assisted training on wrist muscle activation post-stroke.

OBJECTIVE: To compare the effects of active assisted wrist extension training, using a robotic exosk...

Machine learning in the clinical and language characterisation of primary progressive aphasia variants.

INTRODUCTION: Primary progressive aphasia (PPA) is a clinical syndrome of neurodegenerative origin w...

Evaluation of Diffusion Lesion Volume Measurements in Acute Ischemic Stroke Using Encoder-Decoder Convolutional Network.

Background and Purpose- Automatic segmentation of cerebral infarction on diffusion-weighted imaging ...

Artificial Neural Network Computer Tomography Perfusion Prediction of Ischemic Core.

Background and Purpose- Computed tomography perfusion (CTP) is a useful tool in the evaluation of ac...

Automating Ischemic Stroke Subtype Classification Using Machine Learning and Natural Language Processing.

OBJECTIVE: The manual adjudication of disease classification is time-consuming, error-prone, and lim...

Effects of combining modern recovery techniques with neurotrophic medication and standard treatment in stroke patients.

Stroke is the main cause of disability after age 65, leaving survivors with sequels that require car...

Spatiotemporal gait characteristic changes with gait training using the hybrid assistive limb for chronic stroke patients.

BACKGROUND: Robotic rehabilitation has been attracting attention as a means to carry out "intensive"...

Robot-Assisted Reaching Performance of Chronic Stroke and Healthy Individuals in a Virtual Versus a Physical Environment: A Pilot Study.

The aim of the current study was to examine the role of environment, whether virtual or physical, on...

Deep Learning in the Prediction of Ischaemic Stroke Thrombolysis Functional Outcomes: A Pilot Study.

RATIONALE AND OBJECTIVES: Intravenous thrombolysis decision-making and obtaining of consent would be...

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