Cardiovascular

Strokes

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

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Analysis of distance-based protein structure prediction by deep learning in CASP13.

This paper reports the CASP13 results of distance-based contact prediction, threading, and folding m...

Technical considerations of multi-parametric tissue outcome prediction methods in acute ischemic stroke patients.

Decisions regarding acute stroke treatment rely heavily on imaging, but interpretation can be diffic...

Comprehensive analysis of efficient swimming using articulated legs fringed with flexible appendages inspired by a water beetle.

Drag-based swimming is usually accompanied with the shape change of rowing appendages to generate as...

The effect of using Gait Exercise Assist Robot (GEAR) on gait pattern in stroke patients: a cross-sectional pilot study.

: The Gait Exercise Assist Robot (GEAR) has been developed to support gait training for stroke patie...

Unilateral vs Bilateral Hybrid Approaches for Upper Limb Rehabilitation in Chronic Stroke: A Randomized Controlled Trial.

OBJECTIVE: To investigate the effects of unilateral hybrid therapy (UHT) and bilateral hybrid therap...

Predicting Clinical Outcomes of Large Vessel Occlusion Before Mechanical Thrombectomy Using Machine Learning.

Background and Purpose- The clinical course of acute ischemic stroke with large vessel occlusion (LV...

Effects of a robot intervention on visuospatial hemineglect in postacute stroke patients: a randomized controlled trial.

OBJECTIVE: To evaluate the effects of an intervention using the robot device PARO on visuospatial he...

Multicenter experience with photoselective vaporization of the prostate on men taking novel oral anticoagulants.

OBJECTIVE: Photoselective vaporization of the prostate (PVP) is a widely performed surgical procedur...

On the interpretability of machine learning-based model for predicting hypertension.

BACKGROUND: Although complex machine learning models are commonly outperforming the traditional simp...

Influences of the biofeedback content on robotic post-stroke gait rehabilitation: electromyographic vs joint torque biofeedback.

BACKGROUND: Add-on robot-mediated therapy has proven to be more effective than conventional therapy ...

Validation of computerized square-drawing based evaluation of motor function in patients with stroke.

Human-administered clinical scales are commonly used for quantifying motor performance and determini...

Robot-Assisted Arm Training in Chronic Stroke: Addition of Transition-to-Task Practice.

. Robot-assisted therapy provides high-intensity arm rehabilitation that can significantly reduce st...

Randomized Controlled Trial of Gait Training Using Gait Exercise Assist Robot (GEAR) in Stroke Patients with Hemiplegia.

PURPOSE: This trial aimed to validate the effectiveness of using the Gait Exercise Assist Robot (GEA...

Acute stroke rehabilitation for gait training with cyborg type robot Hybrid Assistive Limb: A pilot study.

Robot-assisted gait training following acute stroke could allow patients with severe disability to r...

Prediction of Aneurysm Stability Using a Machine Learning Model Based on PyRadiomics-Derived Morphological Features.

Background and Purpose- Discrimination of the stability of intracranial aneurysms is critical for de...

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