AIMC Topic: Stroke
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Personalised screening tool for early detection of sarcopenia in stroke patients: a machine learning-based comparative study.
Aging clinical and experimental research
Feb 20, 2025
BACKGROUND: Sarcopenia is a common complication in patients with stroke, adversely affecting recovery and increasing mortality risk. However, no standardised tool exists for its screening in this population. This study aims to identify factors influe...
Clinical efficacy of NIBS in enhancing neuroplasticity for stroke recovery.
Journal of neuroscience methods
Feb 18, 2025
BACKGROUND: For stroke patients, a therapeutic approach named Non-invasive brain stimulation (NIBS) was applied and it has gained attention. This NIBS approach enhances the neuroplasticity and facilitates in functional Stroke Rehabilitation (SR) thro...
Deep learning on pre-procedural computed tomography and clinical data predicts outcome following stroke thrombectomy.
Journal of neurointerventional surgery
Feb 14, 2025
BACKGROUND: Deep learning using clinical and imaging data may improve pre-treatment prognostication in ischemic stroke patients undergoing endovascular thrombectomy (EVT).
Empowering large language models for automated clinical assessment with generation-augmented retrieval and hierarchical chain-of-thought.
Artificial intelligence in medicine
Feb 12, 2025
BACKGROUND: Understanding and extracting valuable information from electronic health records (EHRs) is important for improving healthcare delivery and health outcomes. Large language models (LLMs) have demonstrated significant proficiency in natural ...
Improving stroke risk prediction by integrating XGBoost, optimized principal component analysis, and explainable artificial intelligence.
BMC medical informatics and decision making
Feb 7, 2025
The relevance of the study is due to the growing number of diseases of the cerebrovascular system, in particular stroke, which is one of the leading causes of disability and mortality in the world. To improve stroke risk prediction models in terms of...
Using machine learning to predict outcomes following transcarotid artery revascularization.
Scientific reports
Jan 31, 2025
Transcarotid artery revascularization (TCAR) is a relatively new and technically challenging procedure that carries a non-negligible risk of complications. Risk prediction tools may help guide clinical decision-making but remain limited. We developed...
Machine learning to predict stroke risk from routine hospital data: A systematic review.
International journal of medical informatics
Jan 28, 2025
PURPOSE: Stroke remains a leading cause of morbidity and mortality. Despite this, current risk stratification tools such as CHADS-VASc and QRISK3 are of limited accuracy, particularly in those without a diagnosis of atrial-fibrillation. Hence, there ...
Predictive models of clinical outcome of endovascular treatment for anterior circulation stroke using machine learning.
Journal of neuroscience methods
Jan 28, 2025
BACKGROUND AND PURPOSE: Mechanical Thrombectomy (MT) has recently become the standard of care for anterior circulation stroke with large vessel occlusion, but predictive factors of successful MT are still not clearly defined. To tailor treatment indi...
Comparative efficacy of robot-assisted therapy associated with other different interventions on upper limb rehabilitation after stroke: A protocol for a network meta-analysis.
PloS one
Jan 28, 2025
INTRODUCTION: Post-stroke movement disorders are common, especially upper limb dysfunction, which seriously affects the physical and mental health of stroke patients. With the continuous development of intelligent technology, robot-assisted therapy h...
Optimizing stroke prediction using gated recurrent unit and feature selection in Sub-Saharan Africa.
Clinical neurology and neurosurgery
Jan 27, 2025
BACKGROUND: Stroke remains a leading cause of death and disability worldwide, with African populations bearing a disproportionately high burden due to limited healthcare infrastructure. Early prediction and intervention are critical to reducing strok...
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