Strokes

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 (NLO) applications, combining the large hyperpolarizabilities of organic chromophores with the chemical robustness and structural programmability of crystalline porous materials. Although many reviews have covered various facets of MOF-NLO chemistry, no review has brought together structural design ...

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 location, lesion radiomics, and clinical predictors for individualized prediction of 90-day unfavorable outcomes in patients with acute ischemic stroke (AIS). MATERIALS AND METHODS: This multicenter retrospective study included 3,502 patients in the training cohort and 421 in the external validation coho...

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 patients at risk early remains difficult. We developed an...

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 secondary prevention after acute coronary syndrome and ...

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 deterioration (END) is a common adverse event that can sig...

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 before their SCA, but these are not sufficient to...

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 advanced chronic liver disease (ACLD). Although n...

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 screening using a sleep sound analysis smartphone a...

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

Endovascular thrombectomy (EVT) has transformed the treatment of acute ischemic stroke (AIS). However, a substantial proportion of AIS patients experi...

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. This systematic review and meta-analysis evaluated...

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 learning curve for artificial intelligence (AI)-guide...

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-19 pandemic exacerbating disparities. Prior studie...

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 healthy aging. However, its molecular origins remain...

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 deceitful URL structures to circumvent traditional detec...

Computer modeling to improve measurement of stroke volume with echocardiography.

BACKGROUND: The stroke volume (SV) can be measured by a human expert (HE) using the left ventricular outflow tract diameter (LVOTd) and its velocity t...

Recent Advances in Organic Donor-Acceptor Two-Photon Absorption Materials: Mechanisms, Molecular Design, and Applications.

Organic materials have been widely recognized as highly promising candidates for two-photon absorption (TPA) applications owing to their strong optica...

Evaluating and Mitigating Carbon Dioxide Equivalent Emissions in Stroke Management: A Modeling Study.

BACKGROUND: Artificial intelligence (AI) can improve stroke imaging workflows, but its computational carbon footprint remains poorly quantified. We es...

Associations of Accelerometer-Derived "Weekend Warrior" Physical Activity Pattern With Incident First Cardiometabolic Disease and Cardiometabolic Multimorbidity in Individuals With Hypertension.

BACKGROUND: To examine associations between accelerometer-derived "weekend warrior" (WW) physical activity pattern (most moderate-to-vigorous-intensit...

Reconstruction of complete cerebral arterial anatomy from non-contrast CT using deep learning for pre-thrombectomy guidance.

BACKGROUND AND PURPOSE: Traditional imaging methods, like CT angiography (CTA), are unable to visualize the occluded vessels in acute ischemic stroke ...