Cardiovascular

Strokes

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

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Showing 148-168 of 3,933 articles
Conversational artificial intelligence HeAlth supporT in Atrial Fibrillation Self-Management (CHAT-AF-S): rationale and randomised controlled trial design.

INTRODUCTION: Atrial fibrillation (AF), a common arrhythmia, is associated with impaired quality of ...

(1)
Aug 2026 42567638
AI-Based Phenotyping of Atrial Fibrillation Through Generative Topographic Mapping: Prospective Murcia Atrial Fibrillation Project III Cohort Study.

BACKGROUND: The clinical heterogeneity of atrial fibrillation (AF) challenges current classification...

(1)
Aug 2026 42562389
Prediction of Incident Atrial Fibrillation and Association With Outcomes Using Routine Electronic Health Records in a Western Pacific Population.

BACKGROUND AND AIM: Atrial fibrillation (AF) affects over 37 million people internationally and conf...

(6)
Aug 2026 42562672
Machine learning-based screening tool for predicting the risk of oropharyngeal dysphagia in patients with ischemic stroke.

PURPOSE: Dysphagia frequently complicates recovery after stroke, necessitating effective predictive ...

(2)
Aug 2026 42552477
Machine learning-based prediction of unplanned readmission and construction of an online calculator for elderly patients with mild ischemic stroke.

OBJECTIVE: To screen for independent risk factors for unplanned readmission in elderly patients with...

(3)
Aug 2026 42556003
Beyond the guidelines: Vascular function as the central determinant and therapeutic target in hypertension.

Hypertension has traditionally been defined and managed according to brachial blood pressure levels....

(3)
Aug 2026 42552401
The FERM guild: a differentially correlated microbial module drives hypertension via metabolic flux perturbations.

UNLABELLED: Hypertension is a major risk factor for cardiovascular diseases, with changes in gut mic...

(6)
Aug 2026 42549911
External Validation of a Machine Learning Model for the Early Prediction of Upper-Limb Recovery After Stroke.

BACKGROUND: Reliable prediction of upper-limb recovery after stroke can support rehabilitation plann...

(1)
Aug 2026 42544432
[Artificial intelligence in hypertension: where do we stand?].

Artificial intelligence (AI) is entering the study of hypertension, serving both primarily clinical ...

(1)
Aug 2026 42522432
Bulk and single-cell RNA-seq analyses characterize a DBP-related circadian signature in ischemic stroke.

Circadian rhythm disruption is associated with ischemic stroke outcomes, yet the roles of circadian ...

Jul 2026 42572586
Predicting stroke risk using retinal imaging with artificial intelligence: a scoping review of current evidence.

BACKGROUND: Stroke remains a leading cause of mortality and long-term disability worldwide, while cu...

Jul 2026 42536191
Mental simulation practices in stroke rehabilitation reorganize brain connectivity: a systematic review.

BACKGROUND AND PURPOSE: Stroke is a leading cause of disability, associated with impaired motor func...

Jul 2026 42537726
Artificial intelligence shows comparable or improved performance to traditional risk models in predicting atrial fibrillation after cryptogenic stroke.

BACKGROUND AND AIMS: Detecting subclinical atrial fibrillation (AF) and initiating anticoagulation t...

(1)
Jul 2026 42542707
AI-Driven Atrial Fibrillation Management: From Signal to Strategy.

Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia worldwide and is associated...

Jul 2026 42528366
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