AIMC Topic: Stroke

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Spatio-temporal deep learning for automatic detection of intracranial vessel perforation in digital subtraction angiography during endovascular thrombectomy.

Medical image analysis Jan 29, 2022
Intracranial vessel perforation is a peri-procedural complication during endovascular therapy (EVT). Prompt recognition is important as its occurrence is strongly associated with unfavorable treatment outcomes. However, perforations can be hard to de...
Brain Ischemia Endovascular Procedures Thrombectomy Angiography, Digital Subtraction Treatment Outcome Humans Deep Learning Stroke
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Robot-assisted distal training improves upper limb dexterity and function after stroke: a systematic review and meta-regression.

Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology Jan 28, 2022
INTRODUCTION: Stroke is one of the top 10 causes of death worldwide, and more than half of stroke patients face distal upper extremity dysfunction. Considering that robot-assisted training may be effective in improving distal upper extremity function...
Upper Extremity Stroke Rehabilitation Humans Recovery of Function Stroke Activities of Daily Living Robotics
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Effects of Balance Exercise Assist Robot training for patients with hemiparetic stroke: a randomized controlled trial.

Journal of neuroengineering and rehabilitation Jan 28, 2022
BACKGROUND: Robot-assisted rehabilitation for patients with stroke is promising. However, it is unclear whether additional balance training using a balance-focused robot combined with conventional rehabilitation programs supplements the balance funct...
Humans Robotics Stroke Physical Therapy Modalities Stroke Rehabilitation Exercise Therapy
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Automated grading of enlarged perivascular spaces in clinical imaging data of an acute stroke cohort using an interpretable, 3D deep learning framework.

Scientific reports Jan 17, 2022
Enlarged perivascular spaces (EPVS), specifically in stroke patients, has been shown to strongly correlate with other measures of small vessel disease and cognitive impairment at 1 year follow-up. Typical grading of EPVS is often challenging and time...
Humans Retrospective Studies Female Imaging, Three-Dimensional Stroke Patient Acuity Male Deep Learning Diffusion Tensor Imaging Glymphatic System Image Interpretation, Computer-Assisted Neuroimaging
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Comparative effects of EMG-driven robot-assisted therapy versus task-oriented training on motor and daily function in patients with stroke: a randomized cross-over trial.

Journal of neuroengineering and rehabilitation Jan 16, 2022
BACKGROUND: Robot-assisted hand training has shown positive effects on promoting neuromuscular control. Since both robot-assisted therapy and task-oriented training are often used in post-stroke rehabilitation, we raised the question of whether two i...
Upper Extremity Stroke Rehabilitation Treatment Outcome Recovery of Function Humans Stroke Robotics Cross-Over Studies
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Insurance payment for artificial intelligence technology: Methods used by a stroke artificial intelligence system and strategies to qualify for the new technology add-on payment.

The neuroradiology journal Jan 6, 2022
The first ever insurance reimbursement for an artificial intelligence (AI) system, which expedites triage of acute stroke, occurred in 2020 when the Centers for Medicare and Medicaid Services (CMS) granted approval for a New Technology Add-on Payment...
Stroke Humans Medicare Artificial Intelligence Aged Centers for Medicare and Medicaid Services, U.S. Technology United States
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Using Machine Learning to Develop a Short-Form Measure Assessing 5 Functions in Patients With Stroke.

Archives of physical medicine and rehabilitation Dec 31, 2021
OBJECTIVE: This study aimed to develop and validate a machine learning-based short measure to assess 5 functions (the ML-5F) (activities of daily living [ADL], balance, upper extremity [UE] and lower extremity [LE] motor function, and mobility) in pa...
Reproducibility of Results Follow-Up Studies Stroke Humans Machine Learning Activities of Daily Living Stroke Rehabilitation
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Effects of a Brain-Computer Interface-Operated Lower Limb Rehabilitation Robot on Motor Function Recovery in Patients with Stroke.

Journal of healthcare engineering Dec 20, 2021
PURPOSE: To observe the effect of a brain-computer interface-operated lower limb rehabilitation robot (BCI-LLRR) on functional recovery from stroke and to explore mechanisms.
Activities of Daily Living Brain-Computer Interfaces Upper Extremity Recovery of Function Robotics Humans Diffusion Tensor Imaging Stroke Rehabilitation Lower Extremity Stroke
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The sustainability of upper limb robotic therapy for stroke survivors in an inpatient rehabilitation setting.

Disability and rehabilitation Dec 14, 2021
PURPOSE: To investigate the sustainability of Robot-assisted upper limb therapy (RT-UL) as part of routine occupational therapy and physiotherapy clinical practice.
Stroke Rehabilitation Stroke Upper Extremity Survivors Robotics Robotic Surgical Procedures Humans Inpatients Recovery of Function
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Machine learning-based patient classification system for adults with stroke: A systematic review.

Chronic illness Dec 13, 2021
OBJECTIVE: To evaluate the existing evidence of a machine learning-based classification system that stratifies patients with stroke.
Humans Algorithms Adult Machine Learning Stroke
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