AIMC Topic: Stroke

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Robot-Assisted Transcranial Doppler Versus Transthoracic Echocardiography for Right to Left Shunt Detection.

Stroke Oct 5, 2023
BACKGROUND: Right to left shunt (RLS), including patent foramen ovale, is a recognized risk factor for stroke. RLS/patent foramen ovale diagnosis is made by transthoracic echocardiography (TTE), which is insensitive, transesophageal echocardiography,...
Male Echocardiography Middle Aged Female Aged Foramen Ovale, Patent Echocardiography, Transesophageal Ultrasonography, Doppler, Transcranial Robotics Stroke Humans Prospective Studies
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Diagnostic test accuracy study of a commercially available deep learning algorithm for ischemic lesion detection on brain MRIs in suspected stroke patients from a non-comprehensive stroke center.

European journal of radiology Sep 29, 2023
PURPOSE: To estimate the ability of a commercially available artificial intelligence (AI) tool to detect acute brain ischemia on Magnetic Resonance Imaging (MRI), compared to an experienced neuroradiologist.
Stroke Brain Ischemia Diagnostic Tests, Routine Retrospective Studies Adolescent Algorithms Humans Female Magnetic Resonance Imaging Male Brain Artificial Intelligence Diffusion Magnetic Resonance Imaging Deep Learning Aged
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CNN-Res: deep learning framework for segmentation of acute ischemic stroke lesions on multimodal MRI images.

BMC medical informatics and decision making Sep 26, 2023
BACKGROUND: Accurate segmentation of stroke lesions on MRI images is very important for neurologists in the planning of post-stroke care. Segmentation helps clinicians to better diagnose and evaluation of any treatment risks. However, manual segmenta...
Neural Networks, Computer Ischemic Stroke Deep Learning Stroke Magnetic Resonance Imaging Humans
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Non-inferiority of deep learning ischemic stroke segmentation on non-contrast CT within 16-hours compared to expert neuroradiologists.

Scientific reports Sep 26, 2023
We determined if a convolutional neural network (CNN) deep learning model can accurately segment acute ischemic changes on non-contrast CT compared to neuroradiologists. Non-contrast CT (NCCT) examinations from 232 acute ischemic stroke patients who ...
Tomography, X-Ray Computed Deep Learning Radiologists Stroke Ischemic Stroke Humans Neural Networks, Computer
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A bidirectional fabric-based soft robotic glove for hand function assistance in patients with chronic stroke.

Journal of neuroengineering and rehabilitation Sep 21, 2023
BACKGROUND: Chronic stroke patients usually experience reduced hand functions, impeding their ability to perform activities of daily living (ADLs) independently. Additionally, improvements in hand functions by physical therapy beyond six months after...
Upper Extremity Hand Humans Stroke Robotics Activities of Daily Living
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Research on an ankle rehabilitation robot for hemiplegic patients after stroke.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine Sep 14, 2023
This paper proposes an ankle rehabilitation robot to assist hemiplegic patients with movement training. The robot consists of two symmetric mechanisms, allowing stroke survivors to execute ankle rehabilitation training based on physiological differen...
Ankle Hemiplegia Humans Stroke Robotics Ankle Joint
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A Deep Learning Model for Automatic Segmentation of Intraparenchymal and Intraventricular Hemorrhage for Catheter Puncture Path Planning.

IEEE journal of biomedical and health informatics Sep 6, 2023
Intracerebral hemorrhage is the subtype of stroke with the highest mortality rate, especially when it also causes secondary intraventricular hemorrhage. The optimal surgical option for intracerebral hemorrhage remains one of the most controversial ar...
Image Processing, Computer-Assisted Cerebral Hemorrhage Punctures Hematoma Stroke Humans Deep Learning
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Direction-dependent differences in the quality and quantity of horizontal reaching in people after stroke.

Journal of neurophysiology Sep 5, 2023
Arm reaching is often impaired in individuals with stroke. Nonetheless, how aiming directions influence reaching performance and how such differences change with motor recovery over time remain unclear. Here, we elucidated kinematic parameters of rea...
Stroke Movement Paresis Humans Robotics Exoskeleton Device
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Effects of soft robotic exosuit on ambulation ability in stroke patients: a systematic review.

Biomedical engineering online Sep 5, 2023
BACKGROUND: Robot-assisted gait training is incorporated into guidelines for stroke rehabilitation. It is a promising tool combined with conventional therapy for low ambulatory patients. The heavy weight and bulky appearance of a robotic exoskeleton ...
Databases, Factual Robotics Stroke Humans Gait Stroke Rehabilitation
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Effects of a soft robotic exosuit on the quality and speed of overground walking depends on walking ability after stroke.

Journal of neuroengineering and rehabilitation Sep 1, 2023
BACKGROUND: Soft robotic exosuits can provide partial dorsiflexor and plantarflexor support in parallel with paretic muscles to improve poststroke walking capacity. Previous results indicate that baseline walking ability may impact a user's ability t...
Stroke Walking Gait Humans Lower Extremity Robotics
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