AIMC Topic: Stroke

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Interpretable machine learning-based predictive modeling of patient outcomes following cardiac surgery.

The Journal of thoracic and cardiovascular surgery Nov 29, 2023
BACKGROUND: The clinical applicability of machine learning predictions of patient outcomes following cardiac surgery remains unclear. We applied machine learning to predict patient outcomes associated with high morbidity and mortality after cardiac s...
Postoperative Hemorrhage Stroke Cardiac Surgical Procedures Humans Venous Thromboembolism Machine Learning Postoperative Complications Treatment Outcome Risk Factors Predictive Value of Tests Aged Middle Aged Male Risk Assessment Decision Support Techniques Databases, Factual Female
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A wearable system to assist impaired-neck patients: Design and evaluation.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine Nov 29, 2023
Patients with neurological disorders, such as amyotrophic lateral sclerosis, Parkinson's disease, and cerebral palsy, often face challenges due to head-neck immobility. The conventional treatment approach involves using a neck collar to maintain an u...
Humans Electromyography Stroke Movement Wearable Electronic Devices Robotics
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A multimodal screening system for elderly neurological diseases based on deep learning.

Scientific reports Nov 29, 2023
In this paper, we propose a deep-learning-based algorithm for screening neurological diseases. We proposed various examination protocols for screening neurological diseases and collected data by video-recording persons performing these protocols. We ...
Stroke Humans Neural Networks, Computer Algorithms Aged Deep Learning Parkinson Disease
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Machine learning and decision making in aortic arch repair.

The Journal of thoracic and cardiovascular surgery Nov 26, 2023
BACKGROUND: Decision making during aortic arch surgery regarding cannulation strategy and nadir temperature are important in reducing risk, and there is a need to determine the best individualized strategy in a data-driven fashion. Using machine lear...
Treatment Outcome Elective Surgical Procedures Stroke Middle Aged Risk Assessment Aorta, Thoracic Vascular Surgical Procedures Clinical Decision-Making Female Risk Factors Aged Male Machine Learning Decision Support Techniques Retrospective Studies Humans
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A deep learning analysis of stroke onset time prediction and comparison to DWI-FLAIR mismatch.

NeuroImage. Clinical Nov 16, 2023
INTRODUCTION: When time since stroke onset is unknown, DWI-FLAIR mismatch rating is an established technique for patient stratification. A visible DWI lesion without corresponding parenchymal hyperintensity on FLAIR suggests time since onset of under...
Brain Ischemia Time Factors Humans Diffusion Magnetic Resonance Imaging Ischemic Stroke Deep Learning Stroke
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Predicting stroke outcome: A case for multimodal deep learning methods with tabular and CT Perfusion data.

Artificial intelligence in medicine Nov 15, 2023
MOTIVATION: Acute ischemic stroke is one of the leading causes of morbidity and disability worldwide, often followed by a long rehabilitation period. To improve and personalize stroke rehabilitation, it is essential to provide a reliable prognosis to...
Stroke Humans Deep Learning Tomography, X-Ray Computed Ischemic Stroke Hospitals
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A metric for characterizing the arm nonuse workspace in poststroke individuals using a robot arm.

Science robotics Nov 15, 2023
An overreliance on the less-affected limb for functional tasks at the expense of the paretic limb and in spite of recovered capacity is an often-observed phenomenon in survivors of hemispheric stroke. The difference between capacity for use and actua...
Robotics Stroke Stroke Rehabilitation Humans
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Utilizing deep learning via the 3D U-net neural network for the delineation of brain stroke lesions in MRI image.

Scientific reports Nov 13, 2023
The segmentation of acute stroke lesions plays a vital role in healthcare by assisting doctors in making prompt and well-informed treatment choices. Although Magnetic Resonance Imaging (MRI) is a time-intensive procedure, it produces high-fidelity im...
Magnetic Resonance Imaging Stroke Brain Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer
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Localization of early infarction on non-contrast CT images in acute ischemic stroke with deep learning approach.

Scientific reports Nov 9, 2023
Localization of early infarction on first-line Non-contrast computed tomogram (NCCT) guides prompt treatment to improve stroke outcome. Our previous study has shown a good performance in the identification of ischemic injury on NCCT. In the present s...
Stroke Infarction Deep Learning Ischemic Stroke Humans Retrospective Studies Tomography, X-Ray Computed
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Effects of high-intensity gait training with and without soft robotic exosuits in people post-stroke: a development-of-concept pilot crossover trial.

Journal of neuroengineering and rehabilitation Nov 7, 2023
INTRODUCTION: High-intensity gait training is widely recognized as an effective rehabilitation approach after stroke. Soft robotic exosuits that enhance post-stroke gait mechanics have the potential to improve the rehabilitative outcomes achieved by ...
Humans Gait Cross-Over Studies Stroke Rehabilitation Robotics Stroke Walking
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