Cardiovascular

Strokes

Latest AI and machine learning research in strokes for healthcare professionals.

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Broad-coverage targeted lipidomics reveals stage-specific lipid metabolic profiles and diagnostic and prognostic marker panels in ischemic stroke.

BACKGROUND: Ischemic stroke (IS) is a major cause of mortality and disability globally, with challenges in early diagnosis and prognosis prediction. Dysregulated lipid metabolism is key to IS pathophysiology, but comprehensive profiling of lipid changes during disease progression remains limited. METHODS: This study enrolled 223 IS patients and 57 healthy controls. Plasma lipid profiles were analy...

Jul 23 2026 42493655

Hypertension-associated DNA methylation signatures and multi-generational epigenetic clocks in Korean adults.

Hypertension is a hallmark of vascular aging; however, the epigenetic link between biological aging and blood pressure remains unclear. This epigenome-wide association study of hypertension examined 1528 Korean adults (896 normotensive, 632 hypertensive) from the Korean Genome and Epidemiology Study using the Illumina MethylationEPIC 850K array. Overall, 53 differentially methylated positions and ...

Jul 22 2026 42481862
Domain-specific functional outcome prediction in stroke rehabilitation: A multicenter artificial intelligence study.

BACKGROUND: Stroke is a leading cause of long-term disability worldwide, yet existing clinical decision support tools rely on global disability metric...

Jul 22 2026 42485958
Post-thrombectomy models for outcome prediction in ischemic stroke: systematic review and external validation.

BACKGROUND: Outcome prediction models for patients with ischemic stroke after endovascular thrombectomy (EVT) demonstrated the value of including post...

Jul 22 2026 42486683
Atrial Fibrillation in Patients With Myocardial Infarction: Global Burden, Predictors, and Prognostic Impact.

Atrial fibrillation (AF) is the most prevalent sustained arrhythmia worldwide. Acute myocardial infarction (AMI) is closely intertwined with AF throug...

Jul 21 2026 42482384
Role of Low-Field MRI in Acute Stroke.

Portable, low-field (LF) magnetic resonance imaging (MRI) is emerging as a clinically relevant adjunct in acute stroke care, enabling MRI in environme...

Jul 21 2026 42478367
Low-Field Magnetic Resonance Imaging in Critical Care of Stroke.

Neurological deterioration is a frequent and clinically significant challenge in patients with acute stroke admitted to neurocritical care units, wher...

Jul 21 2026 42478374
Reticular pseudodrusen load is associated with an increased risk of stroke.

BACKGROUND/AIMS: Reticular pseudodrusen (RPD) are increasingly recognised as a distinct phenotype in the age-related macular degeneration (AMD) diseas...

Jul 20 2026 42476724
[Overview and conclusions of the STROKE data platform of the National Laboratory for Translational Neuroscience and the associated clinical studies].

Acute ischemic and hemorrhagic stroke are among the leading causes of mortality and long-term disability worldwide. In addition to the results of rand...

Jul 19 2026 42472441
Age-Related Brain Atrophy Mediates a Composite Outcome of One-Year Ischemic Stroke Recurrence and All-Cause Mortality Through YKL-40-Related Inflammatory Pathways: A Structural Equation Model.

Chronological age is a strong predictor of poor outcomes after ischemic stroke but may not fully capture underlying biological vulnerability. This stu...

Jul 18 2026 42470512
A serum-clinical composite model for prostate cancer diagnosis: multicenter validation and CRISPR/Cas13a-based detection.

BACKGROUND: Avoidable prostate biopsies remain a persistent weakness of prostate specific antigen (PSA)- and imaging-led prostate cancer (PCa) diagnos...

Jul 17 2026 42565148
Precision Medicine for Anticoagulation Strategies in the Cath Lab: Part 2.

PURPOSE OF REVIEW: Intraprocedural anticoagulation during percutaneous coronary intervention (PCI) remains particularly challenging in high-risk and u...

Jul 17 2026 42467330
Changes in collateral status during transfer for thrombectomy are predictive of functional outcome in large vessel occlusion stroke.

Collateral circulation that determines infarct progression in large vessel occlusion (LVO) is implicitly regarded as stationary. We investigated colla...

Jul 17 2026 42467333
Measuring cardiac stroke volume through in-ear audio sensing.

Stroke volume, the volume of blood ejected by the left ventricle during a contraction, is a key metric of cardiovascular health. Currently, stroke vol...

Jul 17 2026 42469245
Clinical applications of artificial intelligence in hypertension management: current evidence and future perspectives.

BACKGROUND: Hypertension remains the leading modifiable risk factor for cardiovascular morbidity and mortality worldwide, with persistently inadequate...

Jul 17 2026 42469487
Artificial Intelligence in Ischemic Stroke Lesion Segmentation: A Narrative Review of Deep Learning Methods, Clinical Utility, and Future Directions.

Ischemic stroke management is time-sensitive, and lesion segmentation supports treatment selection, prognostication, and reproducible quantification. ...

Jul 17 2026 42469491
Understanding HFpEF Through Imaging: Strengths, Limitations, and Current State of the Art.

Heart failure with preserved ejection fraction (HFpEF) is a clinical syndrome characterized by dyspnea caused by hemodynamic congestion, which develop...

Jul 16 2026 42470405
PatchGAN-guided semi-supervised U-Net for carotid plaque segmentation in ultrasound under limited annotation conditions.

OBJECTIVE: Artificial intelligence models are increasingly used for stroke risk evaluation and clinical decision-making. However, the scarcity of expe...

Jul 16 2026 42464134
NREP is involved in xenon's protection against ischemic stroke injury through modulating microglial M1 polarization and neuroinflammation.

BACKGROUND: Ischemic stroke (IS) is associated with high mortality and disability rates, and secondary neuroinflammation is a key driver of exacerbate...

Jul 16 2026 42461351
Development and internal validation of an interpretable machine learning model using routine laboratory data for systemic sclerosis-associated pulmonary arterial hypertension.

This study aimed to develop and validate an interpretable machine learning (ML) model using routine laboratory data to support clinical decision-makin...

Jul 16 2026 42461382
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