AIMC Topic: Stroke

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Achieving precision assessment of functional clinical scores for upper extremity using IMU-Based wearable devices and deep learning methods.

Journal of neuroengineering and rehabilitation Apr 16, 2025
Stroke is a serious cerebrovascular disease, and rehabilitation following the acute phase is particularly crucial. Not all rehabilitation outcomes are favorable, highlighting the necessity for personalized rehabilitation. Precision assessment is esse...
Humans Female Stroke Upper Extremity Stroke Rehabilitation Middle Aged Deep Learning Wearable Electronic Devices Aged Adult Male
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A deep learning approach for quantifying CT perfusion parameters in stroke.

Biomedical physics & engineering express Apr 16, 2025
. Computed tomography perfusion (CTP) imaging is widely used for assessing acute ischemic stroke. However, conventional methods for quantifying CTP images, such as singular value decomposition (SVD), often lead to oscillations in the estimated residu...
Cerebrovascular Circulation Perfusion Imaging Image Processing, Computer-Assisted Stroke Perfusion Humans Algorithms Brain Tomography, X-Ray Computed Male Deep Learning
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Enhancing neurological disease diagnostics: fusion of deep transfer learning with optimization algorithm for acute brain stroke prediction using facial images.

Scientific reports Apr 10, 2025
Stroke is a main risk to life and fitness in current society, particularly in the aging population. Also, the stroke is recognized as a cerebrovascular accident. It contains a nervous illness, which can result from haemorrhage or ischemia of the brai...
Magnetic Resonance Imaging Stroke Face Tomography, X-Ray Computed Male Deep Learning Humans Algorithms Brain
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Interim results of exoskeletal wearable robot for gait recovery in subacute stroke patients.

Scientific reports Apr 5, 2025
Exoskeletons have been proposed for potential clinical use to improve ambulatory function in patients with stroke. The aim of an interim analysis of an international, multicenter, randomized, controlled trial was to investigate the short-term effect ...
Humans Middle Aged Wearable Electronic Devices Treatment Outcome Female Aged Male Gait Exoskeleton Device Stroke Rehabilitation Recovery of Function Robotics Stroke
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An effective PO-RSNN and FZCIS based diabetes prediction and stroke analysis in the metaverse environment.

Scientific reports Apr 4, 2025
Chronic disease (CD) like diabetes and stroke impacts global healthcare extensively, and continuous monitoring and early detection are necessary for effective management. The Metaverse Environment (ME) has gained attention in the digital healthcare e...
Humans Neural Networks, Computer Algorithms Diabetes Mellitus Principal Component Analysis Stroke
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An innovative model based on machine learning and fuzzy logic for tracking lower limb exercises in stroke patients.

Scientific reports Apr 2, 2025
Rehabilitation after a stroke is vital for regaining functional abilities. However, a shortage of rehabilitation professionals leads to many patients with severe disabilities. Traditional rehabilitation methods can be time-consuming and hard to measu...
Aged Male Middle Aged Humans Machine Learning Female Exercise Therapy Range of Motion, Articular Stroke Rehabilitation Fuzzy Logic Lower Extremity Stroke
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The effect of lower limb rehabilitation robot on lower limb -motor function in stroke patients: a systematic review and meta-analysis.

Systematic reviews Mar 26, 2025
BACKGROUND: The assessment and enhancement of lower limb motor function in hemiplegic patients is of paramount importance. The emergence of lower limb rehabilitation robots offers a promising avenue for improving motor function in these patients, add...
Hemiplegia Stroke Rehabilitation Robotics Stroke Humans Walking Lower Extremity Recovery of Function
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Predictive power of artificial intelligence for malignant cerebral edema in stroke patients: a CT-based systematic review and meta-analysis of prevalence and diagnostic performance.

Neurosurgical review Mar 25, 2025
Malignant cerebral edema (MCE) is a severe complication of acute ischemic stroke, with high mortality rates. Early and accurate prediction of MCE is critical for initiating timely interventions such as decompressive hemicraniectomy. Artificial intell...
Stroke Brain Edema Humans Artificial Intelligence Tomography, X-Ray Computed Prevalence
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Network-based predictive models for artificial intelligence: an interpretable application of machine learning techniques in the assessment of depression in stroke patients.

BMC geriatrics Mar 22, 2025
BACKGROUND: Depression is a common complication after a stroke that may lead to increased disability and decreased quality of life. The objective of this study was to develop and validate an interpretable predictive model to assess the risk of depres...
Nutrition Surveys Predictive Value of Tests Stroke Artificial Intelligence Risk Factors Middle Aged Humans Machine Learning Aged Risk Assessment Female Male Depression
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Effects of Robot-Assisted Therapy for Upper Limb Rehabilitation After Stroke: An Umbrella Review of Systematic Reviews.

Stroke Mar 21, 2025
BACKGROUND: Robotic rehabilitation, which provides a high-intensity, high-frequency therapy to improve neuroplasticity, is gaining traction. However, its effectiveness for upper extremity stroke rehabilitation remains uncertain. This study comprehens...
Robotics Stroke Upper Extremity Stroke Rehabilitation Humans Recovery of Function Randomized Controlled Trials as Topic
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