AIMC Topic: Stroke

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DGA3-Net: A parameter-efficient deep learning model for ASPECTS assessment for acute ischemic stroke using non-contrast computed tomography.

NeuroImage. Clinical May 19, 2023
Detecting the early signs of stroke using non-contrast computerized tomography (NCCT) is essential for the diagnosis of acute ischemic stroke (AIS). However, the hypoattenuation in NCCT is difficult to precisely identify, and accurate assessments of ...
Stroke Tomography, X-Ray Computed Humans Brain Ischemia Deep Learning Retrospective Studies Alberta Ischemic Stroke
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The effects of Robot-assisted gait training and virtual reality on balance and gait in stroke survivors: A randomized controlled trial.

Gait & posture May 18, 2023
BACKGROUND: Stroke survivors often experience balance and gait problems, which can affect their quality of life and independence in daily living activities. Robot-assisted gait training, such as Lokomat with virtual reality, has been found to be effe...
Virtual Reality Robotics Stroke Middle Aged Quality of Life Stroke Rehabilitation Gait Disorders, Neurologic Gait Exercise Therapy Aged Male Humans
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Automated Segmentation of Intracranial Thrombus on NCCT and CTA in Patients with Acute Ischemic Stroke Using a Coarse-to-Fine Deep Learning Model.

AJNR. American journal of neuroradiology May 18, 2023
BACKGROUND AND PURPOSE: Identifying the presence and extent of intracranial thrombi is crucial in selecting patients with acute ischemic stroke for treatment. This article aims to develop an automated approach to quantify thrombus on NCCT and CTA in ...
Humans Computed Tomography Angiography Intracranial Thrombosis Stroke Deep Learning Thrombosis Ischemic Stroke Brain Ischemia
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Real-World Performance of Large Vessel Occlusion Artificial Intelligence-Based Computer-Aided Triage and Notification Algorithms-What the Stroke Team Needs to Know.

Journal of the American College of Radiology : JACR May 16, 2023
PURPOSE: To evaluate the real-world performance of two FDA-approved artificial intelligence (AI)-based computer-aided triage and notification (CADt) detection devices and compare them with the manufacturer-reported performance testing in the instruct...
Triage Stroke Computers Retrospective Studies Artificial Intelligence Humans Algorithms
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Prototype development of bilateral arm mirror-like-robotic rehabilitation device for acute stroke patients.

Biomedical physics & engineering express May 12, 2023
During the early six months after the onset of a stroke, patients usually remain disabled with limbs weakness and need intensive rehabilitation. An increased number of stroke patients is countered with a reduced number of physical therapists. The dev...
Humans Exercise Therapy Paresis Stroke Rehabilitation Robotic Surgical Procedures Stroke Robotics
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Efficacy of Robot-Assisted and Virtual Reality Interventions on Balance, Gait, and Daily Function in Patients With Stroke: A Systematic Review and Network Meta-analysis.

Archives of physical medicine and rehabilitation Apr 28, 2023
OBJECTIVE: This study aimed to evaluate the comparative effectiveness and ranking of robot-assisted training, virtual reality, and robot-assisted rehabilitation combined with virtual reality in improving balance, gait, and daily function in patients ...
Stroke Rehabilitation Gait Activities of Daily Living Virtual Reality Exposure Therapy Humans Network Meta-Analysis Robotics Randomized Controlled Trials as Topic Stroke
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Gait training with a wearable powered robot during stroke rehabilitation: a randomized parallel-group trial.

Journal of neuroengineering and rehabilitation Apr 28, 2023
BACKGROUND: We have developed a wearable rehabilitation robot, "curara®," and examined its immediate effect in patients with spinocerebellar degeneration and stroke, but its rehabilitative effect has not been clarified. The purpose of this study was ...
Humans Treatment Outcome Stroke Rehabilitation Stroke Gait Wearable Electronic Devices Gait Disorders, Neurologic Robotics
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Performance-Based Robotic Training in Individuals with Subacute Stroke: Differences between Responders and Non-Responders.

Sensors (Basel, Switzerland) Apr 26, 2023
The high variability of upper limb motor recovery with robotic training (RT) in subacute stroke underscores the need to explore differences in responses to RT. We explored differences in baseline characteristics and the RT dose between responders (ΔF...
Robotic Surgical Procedures Humans Stroke Treatment Outcome Paresis Recovery of Function Upper Extremity Robotics Stroke Rehabilitation
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Developing DELPHI expert consensus rules for a digital twin model of acute stroke care in the neuro critical care unit.

BMC neurology Apr 22, 2023
INTRODUCTION: Digital twins, a form of artificial intelligence, are virtual representations of the physical world. In the past 20 years, digital twins have been utilized to track wind turbines' operations, monitor spacecraft's status, and even create...
Stroke Critical Care Intensive Care Units Delphi Technique Humans Consensus Artificial Intelligence
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Fuzzy Adaptive Passive Control Strategy Design for Upper-Limb End-Effector Rehabilitation Robot.

Sensors (Basel, Switzerland) Apr 17, 2023
Robot-assisted rehabilitation therapy has been proven to effectively improve upper-limb motor function in stroke patients. However, most current rehabilitation robotic controllers will provide too much assistance force and focus only on the patient's...
Treatment Outcome Robotics Humans Upper Extremity Stroke Rehabilitation Stroke
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