AIMC Topic: Stroke

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Machine learning based outcome prediction of large vessel occlusion of the anterior circulation prior to thrombectomy in patients with wake-up stroke.

Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences Nov 7, 2022
PURPOSE: Outcome prediction of large vessel occlusion of the anterior circulation in patients with wake-up stroke is important to identify patients that will benefit from thrombectomy. Currently, mismatch concepts that require MRI or CT-Perfusion (CT...
Aged, 80 and over Male Middle Aged Female Aged Registries Stroke Thrombectomy Treatment Outcome Magnetic Resonance Imaging Machine Learning Retrospective Studies Humans
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Automatic identification of early ischemic lesions on non-contrast CT with deep learning approach.

Scientific reports Oct 27, 2022
Early ischemic lesion on non-contrast computed tomogram (NCCT) in acute stroke can be subtle and need confirmation with magnetic resonance (MR) image for treatment decision-making. We retrospectively included the NCCT slices of 129 normal subjects an...
Humans Ischemia Tomography, X-Ray Computed Deep Learning Retrospective Studies Ischemic Stroke Stroke
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Deep learning-based behavioral profiling of rodent stroke recovery.

BMC biology Oct 15, 2022
BACKGROUND: Stroke research heavily relies on rodent behavior when assessing underlying disease mechanisms and treatment efficacy. Although functional motor recovery is considered the primary targeted outcome, tests in rodents are still poorly reprod...
Animals Deep Learning Mice Humans Brain Ischemia Rodentia Disease Models, Animal Stroke
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Human-Robot Cooperative Strength Training Based on Robust Admittance Control Strategy.

Sensors (Basel, Switzerland) Oct 12, 2022
A stroke is a common disease that can easily lead to lower limb motor dysfunction in the elderly. Stroke survivors can effectively train muscle strength through leg flexion and extension training. However, available lower limb rehabilitation robots i...
Range of Motion, Articular Aged Quadriceps Muscle Stroke Resistance Training Robotics Humans
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An Artificial Intelligence-Based Bio-Medical Stroke Prediction and Analytical System Using a Machine Learning Approach.

Computational intelligence and neuroscience Oct 12, 2022
Stroke-related disabilities can have a major negative effect on the economic well-being of the person. When left untreated, a stroke can be fatal. According to the findings of this study, people who have had strokes generally have abnormal biosignals...
Support Vector Machine Machine Learning Humans Stroke Algorithms Artificial Intelligence
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Reversing the Ruin: Rehabilitation, Recovery, and Restoration After Stroke.

Current neurology and neuroscience reports Oct 1, 2022
PURPOSE OF REVIEW: Stroke is a common cause of disability in aging adults. A given individual's needs after stroke vary as a function of the stroke extent and location. The purpose of this review was to discuss recent clinical investigations addressi...
Humans Stroke Stroke Rehabilitation Cognition Recovery of Function Adult Robotics Speech
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Interpretable deep learning for the prognosis of long-term functional outcome post-stroke using acute diffusion weighted imaging.

Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism Sep 28, 2022
Advances in deep learning can be applied to acute stroke imaging to build powerful and explainable prediction models that could supersede traditionally used biomarkers. We aimed to evaluate the performance and interpretability of a deep learning mode...
Humans Stroke Brain Ischemia Prognosis Diffusion Magnetic Resonance Imaging Deep Learning
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Revisiting dose and intensity of training: Opportunities to enhance recovery following stroke.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Sep 23, 2022
PURPOSE: Stroke is a global leading cause of adult disability with survivors often enduring persistent impairments and loss of function. Both intensity and dosage of training appear to be important factors to help restore behavior. However, current p...
Exercise Therapy Physical Therapy Modalities Stroke Rehabilitation Robotics Stroke Humans Adult
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Robotic Biofeedback for Post-Stroke Gait Rehabilitation: A Scoping Review.

Sensors (Basel, Switzerland) Sep 22, 2022
This review aims to recommend directions for future research on robotic biofeedback towards prompt post-stroke gait rehabilitation by investigating the technical and clinical specifications of biofeedback systems (BSs), including the complementary us...
Gait Robotics Stroke Rehabilitation Robotic Surgical Procedures Humans Biofeedback, Psychology Stroke
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Experiences of patients who had a stroke and rehabilitation professionals with upper limb rehabilitation robots: a qualitative systematic review protocol.

BMJ open Sep 19, 2022
INTRODUCTION: Emerging evidence suggests that robotic devices for upper limb rehabilitation after a stroke may improve upper limb function. For robotic upper limb rehabilitation in stroke to be successful, patients' experiences and those of the rehab...
Humans Stroke Rehabilitation Stroke Adult Robotics Caregivers Systematic Reviews as Topic Upper Extremity
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