AIMC Topic: Stroke
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Economic evaluation of robot-assisted training versus an enhanced upper limb therapy programme or usual care for patients with moderate or severe upper limb functional limitation due to stroke: results from the RATULS randomised controlled trial.
BMJ open
May 25, 2021
OBJECTIVE: To determine whether robot-assisted training is cost-effective compared with an enhanced upper limb therapy (EULT) programme or usual care.
Machine Learning Algorithm Identifies the Importance of Environmental Factors for Hospital Discharge to Home of Stroke Patients using Wheelchair after Discharge.
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
May 21, 2021
BACKGROUND AND PURPOSE: Physical environmental factors are generally likely to become barriers for discharge to home of wheelchair users, compared with non-wheelchair users. However, the importance of environmental factors has not been investigated a...
Environment Design
Disability Evaluation
Patient Discharge
Stroke
Aged
Aged, 80 and over
Male
Treatment Outcome
Self-Help Devices
Mobility Limitation
Activities of Daily Living
Housing
Stroke Rehabilitation
Wheelchairs
Humans
Machine Learning
Decision Support Techniques
Databases, Factual
Clinical Decision-Making
Female
The True Potential of Artificial Intelligence for Detection of Large-Vessel Occlusion: The Role of M2 Occlusions.
AJNR. American journal of neuroradiology
May 20, 2021
Prediction of Motor Function in Stroke Patients Using Machine Learning Algorithm: Development of Practical Models.
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
May 19, 2021
BACKGROUND: Machine learning (ML) techniques are being increasingly adopted in the medical field.
Predicting Infarct Core From Computed Tomography Perfusion in Acute Ischemia With Machine Learning: Lessons From the ISLES Challenge.
Stroke
May 7, 2021
BACKGROUND AND PURPOSE: The ISLES challenge (Ischemic Stroke Lesion Segmentation) enables globally diverse teams to compete to develop advanced tools for stroke lesion analysis with machine learning. Detection of irreversibly damaged tissue on comput...
Discrepancies in Stroke Distribution and Dataset Origin in Machine Learning for Stroke.
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Apr 30, 2021
BACKGROUND: Machine learning algorithms depend on accurate and representative datasets for training in order to become valuable clinical tools that are widely generalizable to a varied population. We aim to conduct a review of machine learning uses i...
A Model-Based Analysis of Supraspinal Mechanisms of Inter-Leg Coordination in Human Gait: Toward Model-Informed Robot-Assisted Rehabilitation.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Apr 26, 2021
Stroke survivors are often left suffering from gait instability due to hemiparesis. This gait dysfunction can lead to higher fall rates and an overall decrease in quality of life. Though there are many post-stroke gait rehabilitation methods in use c...
Intra-domain task-adaptive transfer learning to determine acute ischemic stroke onset time.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Apr 24, 2021
Treatment of acute ischemic strokes (AIS) is largely contingent upon the time since stroke onset (TSS). However, TSS may not be readily available in up to 25% of patients with unwitnessed AIS. Current clinical guidelines for patients with unknown TSS...
Effect of Robot Assisted Gait Training on Motor and Walking Function in Patients with Subacute Stroke: A Random Controlled Study.
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Apr 22, 2021
BACKGROUND: Robot-assisted gait training has been confirmed to have beneficial effect on the rehabilitation of stroke patients. An exoskeleton robot, named BEAR-H1, is designed to help stroke patients with walking disabilities.
Effects of a Soft Robotic Hand for Hand Rehabilitation in Chronic Stroke Survivors.
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Apr 22, 2021
OBJECTIVES: Soft robotic hands are proposed for stroke rehabilitation in terms of their high compliance and low inherent stiffness. We investigated the clinical efficacy of a soft robotic hand that could actively flex and extend the fingers in chroni...
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