Cardiovascular

Strokes

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

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Pre-AF 13: An Interpretable Atrial Fibrillation Risk Score Mined from Discharge Reports

Background. Atrial fibrillation (AF) is the most prevalent cardiac arrhythmia and a major determinan...

FSS-Net: Frequency-Spatial Synergy Network with Wavelet Attention for Carotid Artery Ultrasound Segmentation

Accurate segmentation of carotid arteries in ultrasound imaging is critical for stroke risk assessme...

Pre-AF 13: An Interpretable Atrial Fibrillation Risk Score Mined from Discharge Reports

Background. Atrial fibrillation (AF) is the most prevalent cardiac arrhythmia and a major determinan...

White Matter Hyperintensity Burden Modifies the Association Between Atrial Fibrillation and Cerebral Microbleeds

Background: In atrial fibrillation (AF), cerebral microbleed (CMB) burden guides anticoagulation dec...

Comparing Machine Learning Approaches for Predicting CFD-Derived Stroke Risk Indicators in Atrial Fibrillation Patients

Non-valvular atrial fibrillation (AF) is associated with a five-fold increased risk of stroke, mainl...

Deep learning-guided design of hydrolases for crystalline PET depolymerization

Poly(ethylene terephthalate) (PET), a ubiquitous polyester used in packaging and textiles, persists ...

When Eyes Betray AI: Social Gaze Consistency as a Semantic Cue for AI-Generated Image Detection

Recent generative models have largely closed the gap on low-level artifacts - pixel fingerprints, fr...

Cross-Model Variability in Large Language Model Triage Behavior for Potential Stroke Symptoms

Background: Stroke is a time-sensitive neurological emergency in which early EMS activation and pres...

Acute-Phase Machine Learning Prediction of 12-Month Aphasia and Discourse Recovery

Approximately 30-40% of stroke patients retain aphasia at 12 months. Early forecasting may guide reh...

Vision-Core Guided Contrastive Learning for Balanced Multi-modal Prognosis Prediction of Stroke

Deep learning and multi-modal fusion have demonstrated transformative potential in medical diagnosis...

A CUBS-Compatible Ultrasound Morphology and Uncertainty-Aware Baseline for Carotid Intima-Media Segmentation and Preliminary Risk Prediction

Carotid atherosclerosis is a major contributor to ischemic stroke and transient ischemic attack. Con...

Simulating the spectrum, not the syndrome: Large scale individualized modeling of oral reading in stroke aphasia

Computational models are a linchpin in our understanding of the neurocognitive basis of reading. The...

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Structural brain networks shape individual-level progression of brain atrophy after stroke

Stroke starts as a focal vascular lesion, but its structural consequences often extend beyond the le...

CFSPMNet: Cross-subject Fourier-guided Spatial-Patch Mamba Network for EEG Motor Imagery Decoding in Stroke Patients

Motor imagery electroencephalography (MI-EEG) decoding offers a non-invasive route for post-stroke r...

DINORANKCLIP: DINOv3 Distillation and Injection for Vision-Language Pretraining with High-Order Ranking Consistency

Contrastive language-image pretraining (CLIP) suffers from two structural weaknesses: the symmetric ...

Single-cell foundation models reveal context-sensitive cancer programmes under subtype shift

Single-cell foundation models (scFMs) have shown promise as transferable representations of cellular...

Systems Pharmacology Reveals Type I Interferon and Myeloid-Like B Cell Reprogramming as Druggable Axes in Antiphospholipid Syndrome

Antiphospholipid syndrome (APS) lacks targeted therapies beyond anticoagulation, and its molecular h...

Prognosis of stroke subtypes in whole population health systems data: a matched cohort study

Background Outcome after stroke varies according to stroke subtype by location, but healthcare syste...

Patient perspectives on living with hypertension: Social media listening analysis across predominantly high-income countries

Background: Chronic conditions such as hypertension can significantly disrupt daily life and emotion...

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