AIMC Topic: Stroke
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Multitask learning multimodal network for chronic disease prediction.
Scientific reports
May 3, 2025
Chronic diseases are a critical focus in the management of elderly health. Early disease prediction plays a vital role in achieving disease prevention and reducing the associated burden on individuals and healthcare systems. Traditionally, separate m...
Optimizing stroke lesion segmentation: A dual-approach using Gaussian mixture models and nnU-Net.
Computers in biology and medicine
May 2, 2025
Machine learning-based stroke lesion segmentation models are widely used in biomedical imaging, but their ability to detect treatment effects remains largely unexplored. Gaussian Mixture Models (GMM) and nnU-Net are among the most prominent and well-...
Factors influencing short-term and long-term survival rates in stroke patients receiving enteral nutrition: a machine learning approach using MIMIC-IV database.
BMC neurology
Apr 30, 2025
PURPOSE: This study aims to evaluate the survival and mortality rates of stroke patients after receiving enteral nutrition, and to explore factors influencing long-term survival. With an aging society, nutritional management of stroke patients has be...
Industrial-grade collaborative robots for motor rehabilitation after stroke and spinal cord injury: a systematic narrative review.
Biomedical engineering online
Apr 30, 2025
BACKGROUND: There is a growing interest in exploring industrial-grade collaborative robots (cobots) for rehabilitation. This review explores their application for motor rehabilitation of the upper and lower extremities after a stroke and spinal cord ...
Flexor Synergy Assessment and Therapy for Persons With Stroke Using the ULIX Low Impedance Robot.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Apr 29, 2025
The flexor synergy after stroke results in involuntary activation of distal muscles when lifting the shoulder against gravity. This contributes to impaired ability to perform activities of daily living. Robotic exoskeletons can be useful in assessing...
Challenges, optimization strategies, and future horizons of advanced deep learning approaches for brain lesion segmentation.
Methods (San Diego, Calif.)
Apr 28, 2025
Brain lesion segmentation is challenging in medical image analysis, aiming to delineate lesion regions precisely. Deep learning (DL) techniques have recently demonstrated promising results across various computer vision tasks, including semantic segm...
A robotic rehabilitation intervention in a home setting during the Covid-19 outbreak: a feasibility pilot study in patients with stroke.
Journal of neuroengineering and rehabilitation
Apr 24, 2025
BACKGROUND: Telerehabilitation allows patients to engage in therapy away from healthcare facilities, often in the comfort of their homes. Studies have suggested that it can effectively improve motor and cognitive function. However, its applicability ...
A wearable ankle-assisted robot for improving gait function and pattern in stroke patients.
Journal of neuroengineering and rehabilitation
Apr 22, 2025
BACKGROUND: Hemiplegic gait after a stroke can result in a decreased gait speed and asymmetrical gait pattern. Normal gait patterns and speed are typically the ultimate goals of gait function in stroke rehabilitation. The purpose of this study was to...
Quantitative Ischemic Lesions of Portable Low-Field Strength MRI Using Deep Learning-Based Super-Resolution.
Stroke
Apr 16, 2025
BACKGROUND: Deep learning-based synthetic super-resolution magnetic resonance imaging (SynthMRI) may improve the quantitative lesion performance of portable low-field strength magnetic resonance imaging (LF-MRI). The aim of this study is to evaluate ...
Framingham Risk Score Prediction at 12 Months in the STANDFIRM Randomized Control Trial.
Journal of the American Heart Association
Apr 16, 2025
BACKGROUND: The STANDFIRM (Shared Team Approach Between Nurses and Doctors for Improved Risk Factor Management; ANZCTR registration ACTRN12608000166370) trial was designed to test the effectiveness of chronic disease care management for modifying the...
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