AIMC Topic: Stroke
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Machine learning-based prediction model for post-stroke cerebral-cardiac syndrome: a risk stratification study.
Scientific reports
Aug 20, 2025
Cerebral-cardiac syndrome (CCS) is a severe cardiac complication following acute ischemic stroke, often associated with adverse outcomes. This study developed and validated a machine learning (ML) model to predict CCS using clinical, laboratory, and ...
A review of machine learning applications in heart health.
Biomedical engineering online
Aug 11, 2025
The application of machine learning in healthcare continues to gain attention as researchers attempt to prove its potential for the enhancement of diagnosis and prognosis accuracy. Although many applications of machine learning have been well studied...
Artificial intelligence with feature fusion empowered enhanced brain stroke detection and classification for disabled persons using biomedical images.
Scientific reports
Aug 9, 2025
Brain stroke is an illness which affects almost every age group, particularly people over 65. There are two significant kinds of strokes: ischemic and hemorrhagic strokes. Blockage of brain vessels causes an ischemic stroke, while cracks in blood ves...
Current Landscape and Future Directions Regarding Generative Large Language Models in Stroke Care: Scoping Review.
JMIR medical informatics
Aug 7, 2025
BACKGROUND: Stroke has a major impact on global health, causing long-term disability and straining health care resources. Generative large language models (gLLMs) have emerged as promising tools to help address these challenges, but their application...
Development and interpretation of a machine learning risk prediction model for post-stroke depression in a Chinese population.
Scientific reports
Aug 5, 2025
Current evidence for predictive models of post-stroke depression (PSD) risk based on machine learning (ML) remains limited. The aim of this study is to develop a superior predictive model based on ML algorithms for PSD in the Chinese population. We r...
High-intensity interval training with robot-assisted gait therapy vs. treadmill gait therapy in chronic stroke: a randomized controlled trial.
Journal of neuroengineering and rehabilitation
Aug 2, 2025
OBJECTIVE: Stroke is a leading cause of long-term disability, significantly impacting patients' mobility and quality of life. Robot-assisted gait therapy (RAGT) and high-intensity interval training (HIIT) have individually shown potential in improvin...
Age-related variation in hemoglobin glycation index and stroke mortality: mediation and machine learning in a cohort study.
Scientific reports
Aug 2, 2025
To investigate the associations between both age and the hemoglobin glycation index (HGI) and the 30-day and 1-year mortality in ischemic stroke (IS) patients and to analyze the mediating effect of the HGI on the relationship between age and mortalit...
Personalized ML-based wearable robot control improves impaired arm function.
Nature communications
Aug 2, 2025
Portable wearable robots offer promise for assisting people with upper limb disabilities. However, movement variability between individuals and trade-offs between supportiveness and transparency complicate robot control during real-world tasks. We ad...
Enhanced stroke risk prediction in hypertensive patients through deep learning integration of imaging and clinical data.
BMC medical informatics and decision making
Jul 31, 2025
BACKGROUND: Stroke is one of the leading causes of death and disability worldwide, with a significantly elevated incidence among individuals with hypertension. Conventional risk assessment methods primarily rely on a limited set of clinical parameter...
Biomarker panels for improved risk prediction and enhanced biological insights in patients with atrial fibrillation.
Nature communications
Jul 31, 2025
Atrial fibrillation (AF) increases the risk of adverse cardiovascular events, yet the underlying biological mechanisms remain unclear. We evaluate a panel of 12 circulating biomarkers representing diverse pathophysiological pathways in 3817 AF patien...
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