Strokes

Personalised approach to hypertension treatment: protocol for the HYPERMARKER randomised controlled trial.

INTRODUCTION: Blood pressure treatment response is variable in individual patients, and the choice of medical therapy is often dependent on clinician experience. Treatment choices could be personalised by patient empowerment and metabolomic profiles, and augmented by machine learning, but robust evaluation is lacking on how these can be combined to enhance clinical effectiveness. The HYPERMARKER t...

Prevalence of hypertension and diabetes in Bangladesh: identifying gaps in awareness and misinformation.

OBJECTIVE: Non-communicable diseases (NCDs) are a growing health burden in low- and middle-income countries, with hypertension and poor glycaemic control being key contributors. This study aimed to assess the prevalence, awareness, and misinformation surrounding hypertension and diabetes in Bangladesh, identifying high-risk groups. METHODS: Data from the nationally representative 2022 Bangladesh D...

Quantitative Relationship Between White Matter Hyperintensity Volume and Fazekas Score on Brain MRI.

BACKGROUND: The Fazekas score is widely used to grade white matter hyperintensities (WMHs) in cerebral small vessel disease, yet the equivalent volume...

Application of AI in Hypertension Health Education: Scoping Review.

BACKGROUND: Hypertension is a major global health challenge, and effective health education is crucial for improving patients' self-management. Tradit...

An explainable artificial intelligence framework for clinical decision support in stroke discharge planning.

BACKGROUND: Stroke, a leading cause of global mortality and disability, requires accurate prediction of discharge outcomes to support early care plann...

Interactions between minimal amount of exercise and low-density lipoprotein cholesterol on incident dementia after stroke.

Cognitive impairment often follows stroke. Regular physical activity has been shown to be associated with reduced dementia risk, while the association...

The effect of community intervention based on deep learning-established early screening system and model construction for stroke.

BACKGROUND: Stroke is a common cardiovascular complication. The machine learning (ML) algorithms in stroke is a new and noble approach. The objective ...

Machine learning and traditional regression approaches to predict risk of cardiovascular events in patients with acute coronary syndrome.

We aimed to compare the prognostic value of Machine learning (ML) and traditional Cox regression method for predicting adverse clinical events in pati...

Optimizing stroke mortality prediction: a comparative study of sampling, cost-sensitive learning, and threshold adjustment.

BACKGROUND: Stroke is a leading cause of mortality and disability worldwide, creating a critical need for accurate prediction tools to support early c...

A Dual-Modal Wearable PPG Smartwatch with AI-Enhanced Correction for High-Accuracy and Continuous AF Burden Assessment.

Atrial fibrillation (AF) increases the risk of stroke and heart failure, yet accurate quantification of AF burden in daily life remains difficult. Alt...

Prognosis Prediction and Shared Decision Making for Personalised Anticoagulant Therapy after Unprovoked Venous Thromboembolism: The MORPHEUS project.

Background In patients with unprovoked venous thromboembolism (VTE), indefinite anticoagulation is recommended to prevent recurrence but may expose so...

Transformer-DAPT: AI-based dynamic assessment of ischemic and bleeding risks in patients on DAPT following PCI.

Dual antiplatelet therapy (DAPT) following percutaneous coronary intervention (PCI) is traditionally guided by rule-based scores providing static, sin...

Transforming Pulmonary Arterial Hypertension: Key Milestones and Future Perspectives.

Pulmonary arterial hypertension (PAH) is a rare, progressive disease of the precapillary pulmonary arteries, characterized by fibroproliferative vascu...

Association Between the Hemoglobin-to-Red Blood Cell Distribution Width Ratio and Perioperative Mortality Risk in Myasthenia Gravis Patients with Sepsis: A Retrospective Cohort Study.

BackgroundThis study aims to explore the association between the Hemoglobin/Red Cell Distribution Width Ratio (HRR) and perioperative mortality in mya...

Portable RF brain scanner enables stroke type detection using deep learning.

Stroke remains a leading cause of mortality worldwide, demanding rapid, accurate diagnosis; distinguishing stroke types matters because treatments dif...

Combining Non-Contrast CT Radiomics with MR PREDICTS Improves Prediction of Futile Recanalization after Mechanical Thrombectomy.

PURPOSE: Despite complete recanalization (eTICI 3) following mechanical thrombectomy (MT), many patients with acute ischemic stroke (AIS) due to large...

Disparities in severe infection risk associated with systemic lupus erythematosus: evidence from a causal forest analysis.

OBJECTIVES: Severe infections are a primary cause of morbidity and premature mortality in patients with Systemic Lupus Erythematosus (SLE). Although S...

Evaluating the impact of frailty in older adults on functional outcomes post-mechanical thrombectomy: a multicentre study incorporating traditional and machine learning methods.

Frailty is associated with high risk of mortality. Our study evaluated frailty as a predictor of outcomes in older adults with acute ischemic stroke t...

Artificial Intelligence-Based CTA Software for Real-World Detection of Large Vessel Occlusion in Acute Ischemic Stroke.

Background and purpose Artificial intelligence (AI)-based tools for CT angiography (CTA) have been introduced to support rapid detection of large vess...

Preliminary Investigation of Myoelectric Control of an Assistive Neck Exoskeleton by Individuals with Amyotrophic Lateral Sclerosis.

Neck weakness limits head control and quality of life for individuals with Amyotrophic Lateral Sclerosis (ALS). The Utah Neck Exoskeleton can restore ...