AIMC Topic: Stroke

Clear Filters Showing 51 to 60 of 1162 articles

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
View on PubMed DOI

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...
Diabetes Mellitus Humans Principal Component Analysis Neural Networks, Computer Stroke Algorithms
View on PubMed DOI

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 Fuzzy Logic Range of Motion, Articular Lower Extremity Stroke Rehabilitation Stroke
View on PubMed DOI

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...
Stroke Rehabilitation Recovery of Function Robotics Humans Walking Stroke Lower Extremity Hemiplegia
View on PubMed DOI

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...
Tomography, X-Ray Computed Prevalence Stroke Brain Edema Humans Artificial Intelligence
View on PubMed DOI

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...
Humans Artificial Intelligence Risk Assessment Depression Nutrition Surveys Machine Learning Aged Predictive Value of Tests Female Male Stroke Risk Factors Middle Aged
View on PubMed DOI

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...
Stroke Rehabilitation Robotics Stroke Upper Extremity Recovery of Function Randomized Controlled Trials as Topic Humans
View on PubMed DOI

Predicting the risks of stroke, cardiovascular disease, and peripheral vascular disease among people with type 2 diabetes with artificial intelligence models: A systematic review and meta-analysis.

Narra J Mar 19, 2025
Macrovascular complications, including stroke, cardiovascular disease (CVD), and peripheral vascular disease (PVD), significantly contribute to morbidity and mortality in individuals with type 2 diabetes mellitus (T2DM). The aim of this study was to ...
Stroke Cardiovascular Diseases Humans Peripheral Vascular Diseases Risk Assessment Artificial Intelligence Diabetes Mellitus, Type 2
View on PubMed DOI

A Machine Learning Prediction Model to Identify Individuals at Risk of 5-Year Incident Stroke Based on Retinal Imaging.

Sensors (Basel, Switzerland) Mar 19, 2025
Stroke is a leading cause of death and disability in developed countries. We validated an AI-based prediction model for incident stroke using sensors such as fundus cameras and ophthalmoscopes for retinal images, along with socio-demographic data and...
Risk Assessment Humans Incidence Machine Learning Stroke Aged Retina Female Male Risk Factors Middle Aged
View on PubMed DOI

Machine Learning-Based Explainable Automated Nonlinear Computation Scoring System for Health Score and an Application for Prediction of Perioperative Stroke: Retrospective Study.

Journal of medical Internet research Mar 19, 2025
BACKGROUND: Machine learning (ML) has the potential to enhance performance by capturing nonlinear interactions. However, ML-based models have some limitations in terms of interpretability.
Nonlinear Dynamics Perioperative Period Male Middle Aged Stroke Humans Machine Learning Retrospective Studies Female Aged
View on PubMed DOI
Popular Topics
Recent Journals