Strokes

Effectiveness of robot-assisted arm therapy in stroke rehabilitation: An overview of systematic reviews.

BACKGROUND: Robot-assisted arm therapy (RAT) has been used mainly in stroke rehabilitation in the la...

Robot-assisted therapy for upper limb paresis after stroke: Use of robotic algorithms in advanced practice.

BACKGROUND: Rehabilitation of stroke-related upper limb paresis is a major public health issue.

Evidence-based improvement of gait in post-stroke patients following robot-assisted training: A systematic review.

BACKGROUND: The recovery of walking after stroke is a priority goal for recovering autonomy. In the ...

[Implementation of robotic mechanotherapy for movement recovery in patients after stroke].

Lower extremity dysfunction after a stroke can vary from mild to extremely severe and significantly ...

The Use of Machine Learning in MicroRNA Diagnostics: Current Perspectives.

MicroRNAs constitute small non-coding RNAs that play a pivotal role in regulating the translation an...

Effect of gait rehabilitation with a footpad-type locomotion interface on gait ability in subacute stroke patients.

BACKGROUND: Gait rehabilitation using a footpad-type locomotion interface has been reported as effec...

Effects of robot-assisted trunk control training on trunk control ability and balance in patients with stroke: A randomized controlled trial.

BACKGROUND: Trunk control ability is an important component of functional independence after the ons...

Effects of robot (SUBAR)-assisted gait training in patients with chronic stroke: Randomized controlled trial.

BACKGROUND: SUBAR is a new ground walking exoskeletal robot. The objective of this study is to inves...

Vitamin D and COVID-19 - Let's Explore the Relationship!

Vitamin D plays a protective role against COVID-19. Patients with deficiency of vitamin D are more p...

High Compliance Pneumatic Actuators to Promote Finger Extension in Stroke Survivors.

Compliant pneumatic systems are well suited for wearable robotic applications. The actuators are lig...

Stratification of carotid atheromatous plaque using interpretable deep learning methods on B-mode ultrasound images.

Carotid atherosclerosis is the major cause of ischemic stroke resulting in significant rates of mort...

Towards Stroke Biomarkers on Fundus Retinal Imaging: A Comparison Between Vasculature Embeddings and General Purpose Convolutional Neural Networks.

Fundus Retinal imaging is an easy-to-acquire modality typically used for monitoring eye health. Curr...

Predicting Severity in People with Aphasia: A Natural Language Processing and Machine Learning Approach.

Speech language pathologists need an accurate assessment of the severity of people with aphasia (PWA...

Design and Simulation of a Soft Robotic Device for Muscle Rehabilitation and Blood Flow Stimulation Therapy.

Previous works have shown the efficacy of mechanical stimulation by applying pressure and vibration ...

Machine learning approaches improve risk stratification for secondary cardiovascular disease prevention in multiethnic patients.

OBJECTIVES: Identifying high-risk patients is crucial for effective cardiovascular disease (CVD) pre...

Robotics, imaging, and artificial intelligence in the catheterisation laboratory.

The catheterisation laboratory today combines diagnosis and therapeutics, through various imaging mo...

The structural connectome and motor recovery after stroke: predicting natural recovery.

Stroke patients vary considerably in terms of outcomes: some patients present 'natural' recovery pro...

A Bayesian optimization approach for rapidly mapping residual network function in stroke.

Post-stroke cognitive and linguistic impairments are debilitating conditions, with limited therapeut...

Improving Ischemic Stroke Care With MRI and Deep Learning Artificial Intelligence.

Advanced magnetic resonance imaging has been used as selection criteria for both acute ischemic stro...

Stroke risk prediction using machine learning: a prospective cohort study of 0.5 million Chinese adults.

OBJECTIVE: To compare Cox models, machine learning (ML), and ensemble models combining both approach...

Introduction. Neurosurgical management of stroke, organization of stroke management, and artificial intelligence applications.