Strokes

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 w...

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 out...

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 i...

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 Scler...

Metal-organic frameworks (MOFs) for nonlinear optical properties: design principles, DFT insights, and future directions for photonic applications.

Metal-organic frameworks (MOFs) have emerged as a uniquely versatile platform for nonlinear optical ...

Development of a spatial radiomics nomogram for predicting unfavorable outcomes after acute ischemic stroke: A multicenter study.

OBJECTIVE: To develop and externally validate a spatial radiomics nomogram integrating infarct locat...

Machine learning-based prediction of 3-6-month post-stroke cognitive impairment using acute-phase clinical data: a two-center retrospective prognostic modeling study.

BACKGROUND: Post-stroke cognitive impairment (PSCI) is common and disabling, but identifying patient...

Beyond stenosis: Can artificial intelligence redefine stroke risk assessment in contrast-enhanced carotid ultrasound?

Personalized antiplatelet therapy: are we ready for a precision medicine approach.

Dual antiplatelet therapy (DAPT), combining aspirin with a P2Y12 inhibitor, remains central to secon...

A predictive model for early neurological deterioration in medullary infarction based on explainable machine learning.

BACKGROUND: Medullary infarction is a severe subtype of ischemic stroke. Early neurological deterior...

Clinical Triage of Individuals With Warning Symptoms of Imminent Cardiac Arrest.

BACKGROUND: At least 50% of individuals who suffer sudden cardiac arrest (SCA) have warning symptoms...

Validation of a pan-ELastography Machine-learning (ELM) score to predict clinically significant portal hypertension in compensated advanced chronic liver disease.

BACKGROUND: Clinically significant portal hypertension (CSPH) drives decompensation and mortality in...

Application and prospect of bioinformatics in the prevention and treatment of ischemic stroke: A comprehensive narrative review.

Ischemic stroke (IS) is a leading cause of death and disability globally, with current clinical mana...

Evaluation of a sleep sound analysis smartphone app for home obstructive sleep apnea screening among community-dwelling Chinese adults with hypertension.

PURPOSE: This study aimed to evaluate the validity and feasibility of home obstructive sleep apnea s...

Quantitative Cerebrovascular Analysis for Improved Prediction of Post-Stroke Complications.

Endovascular thrombectomy (EVT) has transformed the treatment of acute ischemic stroke (AIS). Howeve...

Impact of Artificial Intelligence-Based Triage on Stroke Workflow Metrics: A Systematic Review and Meta-Analysis.

BACKGROUND: Artificial intelligence is an increasingly valuable tool in ischemic stroke management. ...

Development and validation of a machine learning model for predicting intracranial atherosclerotic disease in large vessel occlusion prior to endovascular therapy.

BACKGROUND AND PURPOSE: Early identification of large vessel occlusion due to underlying intracrania...

Task-shifting to nonexperts using artificial intelligence-guided point-of-care ultrasound: a cohort study of patient selection, image quality, and learning curves.

AIMS: To define rates of diagnostic image acquisition, clinical drivers of image quality and the lea...

Impact of the COVID-19 pandemic on ischemic stroke hospitalizations and in-hospital outcomes in the United States: A survey-weighted cohort with predictive modeling.

INTRODUCTION: Ischemic stroke remains a leading cause of death in the United States, with the COVID-...

Mapping sarcopenia's causal proteome reveals a leptin-driven inflammatory-mitochondrial axis for early prediction.

INTRODUCTION: Sarcopenia, the age-related loss of muscle mass and function, is a major barrier to he...

Adversarial-resilient lightweight phishing url detection: Evaluating lexical & metadata features under evasion techniques.

Phishing is considered one of the most widespread and dynamic cyber threats, as attackers use deceit...