AIMC Topic: Stroke

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Analysis of Stroke Detection during the COVID-19 Pandemic Using Natural Language Processing of Radiology Reports.

AJNR. American journal of neuroradiology Dec 17, 2020
BACKGROUND AND PURPOSE: The coronavirus disease 2019 (COVID-19) pandemic has led to decreases in neuroimaging volume. Our aim was to quantify the change in acute or subacute ischemic strokes detected on CT or MR imaging during the pandemic using natu...
Middle Aged Cohort Studies Natural Language Processing Radiology Humans Female Machine Learning SARS-CoV-2 COVID-19 Male Retrospective Studies Stroke Neuroimaging
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An Exoneuromusculoskeleton for Self-Help Upper Limb Rehabilitation After Stroke.

Soft robotics Dec 3, 2020
This article presents a novel electromyography (EMG)-driven exoneuromusculoskeleton that integrates the neuromuscular electrical stimulation (NMES), soft pneumatic muscle, and exoskeleton techniques, for self-help upper limb training after stroke. Th...
Stroke Upper Extremity Stroke Rehabilitation Wrist Joint Humans Robotics
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A clinically applicable deep-learning model for detecting intracranial aneurysm in computed tomography angiography images.

Nature communications Nov 30, 2020
Intracranial aneurysm is a common life-threatening disease. Computed tomography angiography is recommended as the standard diagnosis tool; yet, interpretation can be time-consuming and challenging. We present a specific deep-learning-based model trai...
Sensitivity and Specificity Male Middle Aged Deep Learning Tomography, X-Ray Computed China Angiography, Digital Subtraction Humans Female Computed Tomography Angiography Algorithms Imaging, Three-Dimensional Aged Intracranial Aneurysm Prospective Studies Stroke Brain Ischemia
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Artificial Intelligence and Acute Stroke Imaging.

AJNR. American journal of neuroradiology Nov 26, 2020
Artificial intelligence technology is a rapidly expanding field with many applications in acute stroke imaging, including ischemic and hemorrhage subtypes. Early identification of acute stroke is critical for initiating prompt intervention to reduce ...
Neuroimaging Artificial Intelligence Triage Stroke Humans
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Association of baseline hematoma and edema volumes with one-year outcome and long-term survival after spontaneous intracerebral hemorrhage: A community-based inception cohort study.

International journal of stroke : official journal of the International Stroke Society Nov 25, 2020
BACKGROUND: Hospital-based studies have reported variable associations between outcome after spontaneous intracerebral hemorrhage and peri-hematomal edema volume.
Cerebral Hemorrhage Aged Humans Hematoma Stroke Adult Prospective Studies Female Brain Edema Male Cohort Studies
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Effects of robot viscous forces on arm movements in chronic stroke survivors: a randomized crossover study.

Journal of neuroengineering and rehabilitation Nov 24, 2020
BACKGROUND: Our previous work showed that speed is linked to the ability to recover in chronic stroke survivors. Participants moving faster on the first day of a 3-week study had greater improvements on the Wolf Motor Function Test.
Male Middle Aged Robotics Stroke Cross-Over Studies Arm Viscosity Movement Humans Female Aged Survivors Stroke Rehabilitation
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Brain-Computer Interface-Based Soft Robotic Glove Rehabilitation for Stroke.

IEEE transactions on bio-medical engineering Nov 19, 2020
OBJECTIVE: This randomized controlled feasibility study investigates the ability for clinical application of the Brain-Computer Interface-based Soft Robotic Glove (BCI-SRG) incorporating activities of daily living (ADL)-oriented tasks for stroke reha...
Activities of Daily Living Brain-Computer Interfaces Upper Extremity Stroke Rehabilitation Treatment Outcome Robotics Electroencephalography Stroke Humans
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Machine learning to predict mortality after rehabilitation among patients with severe stroke.

Scientific reports Nov 18, 2020
Stroke is among the leading causes of death and disability worldwide. Approximately 20-25% of stroke survivors present severe disability, which is associated with increased mortality risk. Prognostication is inherent in the process of clinical decisi...
Mortality Stroke Rehabilitation Aged Male Middle Aged ROC Curve Logistic Models United States Stroke Medicare Machine Learning Humans Algorithms Clinical Decision-Making Female
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Robot Assisted Ankle Neuro-Rehabilitation: State of the art and Future Challenges.

Expert review of neurotherapeutics Nov 16, 2020
: Robot-assisted neuro-rehabilitation is gaining acceptability among the physical therapy community. The ankle is one of the most complicated anatomical joints in the human body and neurologic injuries such as stroke often result in ankle and foot di...
Physical Therapy Modalities Stroke Rehabilitation Robotics Stroke Ankle Joint Ankle Humans
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Multiclass machine learning vs. conventional calculators for stroke/CVD risk assessment using carotid plaque predictors with coronary angiography scores as gold standard: a 500 participants study.

The international journal of cardiovascular imaging Nov 12, 2020
Machine learning (ML)-based algorithms for cardiovascular disease (CVD) risk assessment have shown promise in clinical decisions. However, they usually predict binary events using only conventional risk factors. Our overall goal was to develop the "m...
Middle Aged Risk Assessment Diagnosis, Computer-Assisted Pilot Projects Aged Cross-Sectional Studies Male Radiographic Image Interpretation, Computer-Assisted Stroke Heart Disease Risk Factors Plaque, Atherosclerotic Ultrasonography Support Vector Machine Predictive Value of Tests Coronary Angiography Humans Machine Learning Decision Support Techniques Prognosis Female Reproducibility of Results Carotid Stenosis Coronary Stenosis
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