Cardiovascular

Strokes

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

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Image-level detection of arterial occlusions in 4D-CTA of acute stroke patients using deep learning.

The triage of acute stroke patients is increasingly dependent on four-dimensional CTA (4D-CTA) imagi...

Sep 2020 32920477
User-Driven Functional Movement Training With a Wearable Hand Robot After Stroke.

We studied the performance of a robotic orthosis designed to assist the paretic hand after stroke. I...

(1)
Sep 2020 32886611
The Probability of Ischaemic Stroke Prediction with a Multi-Neural-Network Model.

As is known, cerebral stroke has become one of the main diseases endangering people's health; ischae...

Sep 2020 32899242
Rapid reconstruction of highly undersampled, non-Cartesian real-time cine k-space data using a perceptual complex neural network (PCNN).

Highly accelerated real-time cine MRI using compressed sensing (CS) is a promising approach to achie...

(1)
Sep 2020 32875668
Exploring gene-gene interaction in family-based data with an unsupervised machine learning method: EPISFA.

Gene-gene interaction (G × G) is thought to fill the gap between the estimated heritability of compl...

Sep 2020 32869348
Does including machine learning predictions in ALS clinical trial analysis improve statistical power?

OBJECTIVE: Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease which leads to progres...

Aug 2020 32862509
Artificial intelligence for decision support in acute stroke - current roles and potential.

The identification and treatment of patients with stroke is becoming increasingly complex as more tr...

Aug 2020 32839584
Neurocognitive robot-assisted rehabilitation of hand function: a randomized control trial on motor recovery in subacute stroke.

BACKGROUND: Hand function is often impaired after stroke, strongly affecting the ability to perform ...

Aug 2020 32831097
Changes in electroencephalography complexity and functional magnetic resonance imaging connectivity following robotic hand training in chronic stroke.

In recent years, robotic training has been utilized for recovery of motor control in patients with ...

(2)
Aug 2020 32799771
Automatic detection of acute ischemic stroke using non-contrast computed tomography and two-stage deep learning model.

BACKGROUND AND OBJECTIVE: Currently, it is challenging to detect acute ischemic stroke (AIS)-related...

(3)
Aug 2020 32858281
Machine Learning Prediction of Stroke Mechanism in Embolic Strokes of Undetermined Source.

BACKGROUND AND PURPOSE: One-fifth of ischemic strokes are embolic strokes of undetermined source (ES...

Aug 2020 32781943
Caregiver burden in stroke inpatients: a randomized study comparing robot-assisted gait training and conventional therapy.

The effects of caregiver burden during the inpatient rehabilitation period have not yet been investi...

Aug 2020 32776169
Stroke prognostication for discharge planning with machine learning: A derivation study.

Post-stroke discharge planning may be aided by accurate early prognostication. Machine learning may ...

(2)
Aug 2020 33070874
Machine Learning for Brain Stroke: A Review.

Machine Learning (ML) delivers an accurate and quick prediction outcome and it has become a powerful...

Jul 2020 32912543
A promising approach for screening pulmonary hypertension based on frontal chest radiographs using deep learning: A retrospective study.

BACKGROUND: To date, the missed diagnosis rate of pulmonary hypertension (PH) was high, and there ha...

Jul 2020 32706807
Integrating uncertainty in deep neural networks for MRI based stroke analysis.

At present, the majority of the proposed Deep Learning (DL) methods provide point predictions withou...

Jul 2020 32801096
Cuffless Blood Pressure Monitoring: Promises and Challenges.

Current BP measurements are on the basis of traditional BP cuff approaches. Ambulatory BP monitoring...

Jul 2020 32680913
Fully automated quantification of left ventricular volumes and function in cardiac MRI: clinical evaluation of a deep learning-based algorithm.

To investigate the performance of a deep learning-based algorithm for fully automated quantification...

Jul 2020 32677023
Development of an artificial intelligence diagnostic model based on dynamic uncertain causality graph for the differential diagnosis of dyspnea.

Dyspnea is one of the most common manifestations of patients with pulmonary disease, myocardial dysf...

Jul 2020 32676992
Machine learning-based segmentation of ischemic penumbra by using diffusion tensor metrics in a rat model.

BACKGROUND: Recent trials have shown promise in intra-arterial thrombectomy after the first 6-24 h o...

(2)
Jul 2020 32664906
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