Cardiovascular

Strokes

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

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Emerging role of artificial intelligence in stroke imaging.

: The recognition and therapy of patients with stroke is becoming progressively intricate as additio...

Identification and Diagnosis of Cerebral Stroke through Deep Convolutional Neural Network-Based Multimodal MRI Images.

This study aimed to explore the application value of multimodal magnetic resonance imaging (MRI) ima...

A scoping review of design requirements for a home-based upper limb rehabilitation robot for stroke.

BACKGROUND: Home-based robotic therapy is a trend of post-stroke upper limb rehabilitation. Although...

Reliable and valid robot-assisted assessments of hand proprioceptive, motor and sensorimotor impairments after stroke.

BACKGROUND: Neurological injuries such as stroke often differentially impair hand motor and somatose...

An automated method for detecting atrial fat using convolutional neural network.

Atrial Fibrillation (A-fib) is a common cardiac rhythm problem in the population these days in which...

AIOSA: An approach to the automatic identification of obstructive sleep apnea events based on deep learning.

Obstructive Sleep Apnea Syndrome (OSAS) is the most common sleep-related breathing disorder. It is c...

Deep Learning-Based Carotid Plaque Segmentation from B-Mode Ultrasound Images.

Carotid ultrasound measurement of total plaque area (TPA) provides a method for quantifying carotid ...

Improving Prehospital Stroke Diagnosis Using Natural Language Processing of Paramedic Reports.

BACKGROUND AND PURPOSE: Accurate prehospital diagnosis of stroke by emergency medical services (EMS)...

Tissue outcome prediction in hyperacute ischemic stroke: Comparison of machine learning models.

Machine Learning (ML) has been proposed for tissue fate prediction after acute ischemic stroke (AIS)...

Deep Learning-Based Stroke Disease Prediction System Using Real-Time Bio Signals.

The emergence of an aging society is inevitable due to the continued increases in life expectancy an...

Exploring the Use of Brain-Computer Interfaces in Stroke Neurorehabilitation.

With the continuous development of artificial intelligence technology, "brain-computer interfaces" a...

Radiomics side experiments and DAFIT approach in identifying pulmonary hypertension using Cardiac MRI derived radiomics based machine learning models.

Side experiments are performed on radiomics models to improve their reproducibility. We measure the ...

Deep learning-based identification of acute ischemic core and deficit from non-contrast CT and CTA.

The accurate identification of irreversible infarction and salvageable tissue is important in planni...

D-UNet: A Dimension-Fusion U Shape Network for Chronic Stroke Lesion Segmentation.

Assessing the location and extent of lesions caused by chronic stroke is critical for medical diagno...

Enhanced Diagnosis of Pneumothorax with an Improved Real-Time Augmentation for Imbalanced Chest X-rays Data Based on DCNN.

Pneumothorax is a common pulmonary disease that can lead to dyspnea and can be life-threatening. X-r...

Clinical validation of kinematic assessments of post-stroke upper limb movements with a multi-joint arm exoskeleton.

BACKGROUND: The clinical evaluation of the upper limb of severely impaired stroke patient is challen...

The adjunct of transcranial direct current stimulation to Robot-assisted therapy in upper limb post-stroke treatment.

Transcranial direct current stimulation (TDCS) and robot-assisted therapy (RAT) proved to be promisi...

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