AIMC Topic: Stroke

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Machine learning-based multimodal prediction of language outcomes in chronic aphasia.

Human brain mapping Dec 30, 2020
Recent studies have combined multiple neuroimaging modalities to gain further understanding of the neurobiological substrates of aphasia. Following this line of work, the current study uses machine learning approaches to predict aphasia severity and ...
Humans Female Middle Aged Severity of Illness Index Functional Neuroimaging Support Vector Machine Aged Aged, 80 and over Adult Male Diffusion Tensor Imaging Language Tests Aphasia Stroke Outcome Assessment, Health Care Neuroimaging Cerebrovascular Circulation Magnetic Resonance Imaging Multimodal Imaging Chronic Disease
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Impact of the reperfusion status for predicting the final stroke infarct using deep learning.

NeuroImage. Clinical Dec 25, 2020
BACKGROUND: Predictive maps of the final infarct may help therapeutic decisions in acute ischemic stroke patients. Our objectives were to assess whether integrating the reperfusion status into deep learning models would improve their performance, and...
Diffusion Magnetic Resonance Imaging Infarction Stroke Brain Ischemia Reperfusion Humans Deep Learning
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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 Humans Stroke Cohort Studies Female Machine Learning Neuroimaging Natural Language Processing COVID-19 SARS-CoV-2 Radiology Retrospective Studies Male
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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 Humans Female Algorithms China Aged Prospective Studies Angiography, Digital Subtraction Imaging, Three-Dimensional Computed Tomography Angiography Stroke Intracranial Aneurysm 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 ...
Humans Neuroimaging Artificial Intelligence Triage Stroke
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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.
Aged Humans Cerebral Hemorrhage Hematoma Adult Stroke Prospective Studies Male Brain Edema Female 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 Humans Female Aged Movement 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...
Stroke Activities of Daily Living Brain-Computer Interfaces Upper Extremity Stroke Rehabilitation Humans Treatment Outcome Robotics Electroencephalography
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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...
Medicare Mortality Stroke Rehabilitation Female Aged Male Middle Aged ROC Curve Logistic Models United States Stroke Humans Machine Learning Algorithms Clinical Decision-Making
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