Strokes

Radiomics-Based Classification of Pathological Patterns in Common Carotid Artery Wall.

OBJECTIVES: Abnormal echogenic patterns such as the triple signal pattern can be identified in the common carotid artery (CCA) using ultrasound. These patterns have been associated not only with fibromuscular dysplasia but also with primary hypertension and cardiovascular risk factors, suggesting their potential as markers of vascular aging. Typically identified through visual inspection, their de...

Integrating Digital Health Into Stroke Policies.

Stroke remains a leading cause of death and disability worldwide. In response, many governments have developed stroke policies emphasizing prevention, early detection, timely treatment, and rehabilitation. However, the implementation of those strategies remains uneven, challenged by fragmented health systems, unequal access to care, and resource constraints. Digital health tools provide robust sol...

Early Versus Delayed Anticoagulation in Acute Ischaemic Stroke with Atrial Fibrillation According to Infarct Volume and Location: a Prespecified Subgroup Analysis of the OPTIMAS Randomised Controlled Trial.

BackgroundRandomised trials have demonstrated that early anticoagulation after acute atrial fibrillation-associated ischaemic stroke is safe and non-i...

Adaptive AI for Cardiovascular Event Adjudication: Cardiovascular Event Adjudication Across Different Definitions in the ODYSSEY OUTCOMES and EUCLID Trials.

BACKGROUND: Clinical endpoint classification (CEC) is the gold standard for cardiovascular endpoint measurement in clinical trials, but adds time and ...

Dual-energy CT clot and peri-clot radiomics for predicting complete reperfusion and clinical outcome following endovascular therapy in acute ischemic stroke.

OBJECTIVES: Complete reperfusion is the optimal technical goal of endovascular therapy (EVT) and is closely linked to favorable outcomes in acute isch...

A Segatella Copri-centered Gut Microbiota-mediated Metabolic Dysregulation Associated with Transition from Asymptomatic to Symptomatic Intracranial Atherosclerosis.

The mechanisms underlying the continuum from asymptomatic intracranial atherosclerotic stenosis (aICAS) to symptomatic intracranial large-artery ather...

A clinical machine learning model for 1-year functional outcome prediction in acute ischemic stroke: temporal validation across evolving guidelines.

Personalized mapping of body homeostasis using whole-body PET connectomics and routine FDG PET imaging.

BACKGROUND: Immuno-inflammation and systemic alterations are key features of chronic diseases. While PET molecular imaging is widely used in precision...

Impact of an artificial intelligence-driven triage system on workflow and transfer efficiency: stratified analysis of 4548 admissions to four thrombectomy hubs receiving transfers from sixty spokes.

BACKGROUND: We aimed to evaluate the impact of implementing an artificial intelligence (AI)-enabled acute ischaemic stroke triage system on workflow e...

Reappraising cardiac function with myocardial contraction fraction: normal values, disease detection, and prognostication.

AIMS: Assessing cardiac function is critical for managing cardiovascular disease, guiding treatment, monitoring progression, and risk stratification. ...

An ultrasensitive electrochemical immunosensor for SLC2A3 detection enables prognostic prediction in acute ischemic stroke.

Acute ischemic stroke (AIS) presents significant challenges in biomarker discovery and detection. This study addresses these hurdles through an integr...

Syntaxin1A in synaptopathies: From molecular mechanisms to therapeutic implications in neurological disorders (Review).

Syntaxin1A (STX1A) is a presynaptic membrane protein that is abundantly expressed in the central nervous system. It is a key member of the soluble N-e...

Optimized hybrid deep learning model for accurate prediction of effluent quality in wastewater treatment plants.

Accurate prediction of effluent quality in wastewater treatment plants (WWTPs) is critical for improving effluent compliance rates and reducing energy...

Multimodal CT Perfusion-Based Deep Learning for Predicting Stroke Lesion Outcomes in Complete and No Recanalization Scenarios.

BACKGROUND AND PURPOSE: Predicting the final location and volume of lesions in acute ischemic stroke is crucial for clinical management. While CTP is ...

Artificial Intelligence in Cardiovascular Medicine: Focus on Hypertension.

Hypertension remains the most prevalent modifiable risk factor for cardiovascular morbidity and mortality worldwide, yet rates of effective blood pres...

Perfusion-derived cerebral CT angiography with artificial intelligence iterative reconstruction as a replacement for routine cerebral CT angiography in acute ischemic stroke.

OBJECTIVES: To investigate the feasibility of replacing routine cerebral CT angiography (CTA) with CT perfusion (CTP)-derived cerebral CTA by using ar...

Cardiovascular outcomes and subclinical atherosclerosis in metabolic-associated steatotic liver disease: long-term follow-up from a specialized outpatient cohort.

BACKGROUND AND AIMS: Cardiovascular disease is the main cause of mortality in metabolic-associated steatotic liver disease (MASLD). This study evaluat...

Explainable machine learning for long-term cardiovascular disease risk prediction in Chinese middle-aged and older adults: a 9-year longitudinal cohort study with web-based risk calculator.

Cardiovascular disease represents the leading cause of mortality in China, accounting for over 40% of all deaths. Existing risk prediction models pred...

Metagenomic profiling and predictive modeling of the gut microbiome reveal signatures of gestational disease.

The gut microbiome plays a vital role in maternal health and pregnancy outcomes, yet its impact on conditions like gestational hypertension (GH) and g...

Robot-Assisted Therapy for Upper Limb Rehabilitation After Stroke: Umbrella Review.

BACKGROUND: Stroke is a leading cause of long-term upper limb disability, severely impacting patients' independence and quality of life. Robot-assiste...