Cardiovascular

Strokes

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

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Showing 757-777 of 3,933 articles
Enlarged Perivascular Spaces and Modifiable Vascular Risk Factors: Cross-Sectional and Longitudinal Analysis in the UK Biobank Cohort.

OBJECTIVE: To examine cross-sectional and longitudinal associations between vascular risk factors, A...

Dec 2025 41456992
Balancing Innovation and Responsibility: Ethical and Privacy Challenges in Stroke Digital Health.

Digital health solutions are being increasingly used to support care delivery across various medical...

Dec 2025 41347310
A comparative analysis of SCALE-CTP and RAPID in determining the affected brain volumes of patients with ischemic stroke.

BACKGROUND: Computed tomography perfusion (CTP) is widely used to treat acute strokes. The affected ...

Dec 2025 41354368
Precision medicine in Moyamoya vasculopathy.

PURPOSE OF REVIEW: Moyamoya vasculopathy is a progressive cerebrovascular steno-occlusive disease wi...

(1)
Dec 2025 41355354
Effects of Robot-Assisted Upper Extremity Training on Cognitive and Physical Functions in Patients With Stroke: A Randomized Controlled Study.

OBJECTIVE: Primary aim was to investigate the effects of upper extremity robot-assisted training, ap...

Dec 2025 41592339
Development of advanced lung cancer inflammation index-based machine learning models for predicting stroke and mortality: A comparative and interpretable study.

BACKGROUND: The Advanced Lung Cancer Inflammation Index (ALI) is a novel composite index that enable...

(1)
Dec 2025 41371087
Interpretable Multiwavelength SERS Fingerprints of Human Urine for Ischemic Stroke Diagnosis.

Surface-enhanced Raman spectroscopy (SERS) can capture single-molecule-level component information f...

Dec 2025 41339711
Deep learning model for identifying significant tricuspid regurgitation using standard 12-lead electrocardiogram.

INTRODUCTION: Transthoracic echocardiography (TTE) is the current standard for detecting tricuspid r...

Dec 2025 41437957
Personalized adrenal gland volume reference ranges and development of a fully automated deep learning screening tool.

OBJECTIVE: This study aims to develop a low-dose CT-based, fully automated deep learning tool for sc...

Nov 2025 41352231
Anomaly changes in the functional connectome of post-operative neurosurgical patients: A case series.

PURPOSE: The use of neuronavigation with superimposed mapping tools has enabled visualization of key...

Nov 2025 41325661
Emerging risk factors for stroke and bleeding in patients with atrial fibrillation and heart failure-a narrative review.

Atrial fibrillation (AF) and heart failure (HF) frequently coexist, which leads to adverse clinical ...

Nov 2025 41318013
Clinically oriented deep learning framework for automated vessel wall segmentation in black-blood MRI: a multi-center study.

OBJECTIVES: To develop and validate a clinically applicable deep learning framework for automated se...

Nov 2025 41273425
Efficacy of MRI-based deep learning algorithm for detecting acute ischemic stroke: evaluation among diverse readers.

OBJECTIVES: The efficacy of an MRI-based deep learning algorithm (DLA) for detecting acute ischemic ...

Nov 2025 41249548
Optimal adherence thresholds for oral anticoagulants in patients with atrial fibrillation using machine learning and population administrative data.

BACKGROUND: Adherence to oral anticoagulants (OACs) for atrial fibrillation (AF) stroke prevention i...

Nov 2025 41224177
Digital twins in stroke rehabilitation: a scoping review of objectives, data sources, mechanisms, outcomes, and desirable properties.

BACKGROUND: Digital Twins (DTs) have transitioned from theory to reality, with growing applications ...

(1)
Nov 2025 41200887
Exploring latent diffusion models for ECG generation on the minute scale.

BACKGROUND AND OBJECTIVE: Artificial Intelligence (AI) models for electrocardiogram (ECG) interpreta...

(1)
Nov 2025 41205561
Association between triglyceride-glucose index and depression and the mediating role of hypertension: a cross-sectional study of obese adults.

BACKGROUND: Recent findings indicate a positive correlation between the TyG (triglyceride-glucose) i...

Oct 2025 41284526
AI-driven diagnosis of vulnerable intracranial atherosclerotic plaques using large language models and vision transformers: a multi-center study.

OBJECTIVES: High-resolution vessel wall imaging (HR-VWI) is essential for diagnosing vulnerable intr...

Oct 2025 41123642
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