AIMC Topic: Stroke

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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 ...
Humans Stroke Aged Neural Networks, Computer Deep Learning Algorithms 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...
Retrospective Studies Clinical Decision-Making Risk Factors Aged Female Machine Learning Decision Support Techniques Humans Stroke Aorta, Thoracic Vascular Surgical Procedures Risk Assessment Male Treatment Outcome Middle Aged Elective Surgical Procedures
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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...
Stroke Brain Ischemia Diffusion Magnetic Resonance Imaging Time Factors Ischemic Stroke Humans Deep Learning
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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...
Ischemic Stroke Humans Tomography, X-Ray Computed Stroke Hospitals Deep Learning
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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...
Stroke Stroke Rehabilitation Humans Robotics
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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...
Brain Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer Magnetic Resonance Imaging Stroke
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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...
Humans Retrospective Studies Tomography, X-Ray Computed Stroke Infarction Deep Learning Ischemic Stroke
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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 ...
Cross-Over Studies Humans Walking Stroke Robotics Stroke Rehabilitation Gait
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User Experience Evaluation of Upper Limb Rehabilitation Robots: Implications for Design Optimization: A Pilot Study.

Sensors (Basel, Switzerland) Nov 6, 2023
With the development of science and technology, people are trying to use robots to assist in stroke rehabilitation training. This study aims to analyze the result of the formative test to provide the orientation of upper limb rehabilitation robot des...
Robotics Stroke Stroke Rehabilitation Physical Therapists Upper Extremity Humans Pilot Projects
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In-hospital fall prediction using machine learning algorithms and the Morse fall scale in patients with acute stroke: a nested case-control study.

BMC medical informatics and decision making Nov 1, 2023
BACKGROUND: Falls are one of the most common accidents in medical institutions, which can threaten the safety of inpatients and negatively affect their prognosis. Herein, we developed a machine learning (ML) model for fall prediction in patients with...
Humans Machine Learning Algorithms Case-Control Studies Bayes Theorem Stroke Retrospective Studies Hospitals
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