Cardiovascular

Strokes

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

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Showing 673-693 of 3,933 articles
DNA Methylation Markers for Pregnancy Hypertension via Machine Learning Methods.

BACKGROUND: This study aims to develop a prediction model to identify individuals at risk of hyperte...

Feb 2026 41669844
Polysomnography Dataset for Sleep Analysis in Ischemic Stroke Patients.

Sleep architecture and integrity significantly influence neural recovery and cognitive restoration. ...

(1)
Feb 2026 41673037
Data-driven subgroups for 3-year risk stratification of incident diabetes and complications in diabetes-free Chinese adults.

BACKGROUND: Substantial metabolic heterogeneity exists prior to the development of diabetes, creatin...

Feb 2026 41672933
Health-oriented sleep states: making sleep states reflect health conditions.

STUDY OBJECTIVES: The rich information in sleep offers insights into brain function and overall heal...

Feb 2026 40795277
Machine-learning-derived phenotypes of hypertensive patients using multidimensional clinical and echocardiographic data including strain imaging.

AIMS: We applied unsupervised machine learning clustering to a large cohort of hypertensive patients...

Feb 2026 41768037
Coronary revascularization: a long-term perspective.

This paper will forecast advancements in coronary revascularization by 2040, drawing on historical t...

(1)
Feb 2026 41271218
Early Prediction of Adverse Stroke Outcomes using Non-clinical Factors and Missing Data: A Machine Learning Study.

Introduction Early prediction of stroke outcomes using prognostic tools may help clinical decision m...

(1)
Feb 2026 41662302
Dynamic prediction of paroxysmal atrial fibrillation onset using longitudinal sample entropy in joint models.

BACKGROUND: Atrial fibrillation (AF) is the most common cardiac arrhythmia and is associated with a ...

Feb 2026 41663932
Exploring the future of ischemic stroke diagnosis and underrecognized etiologies.

INTRODUCTION: Despite traditional workups, accurate diagnosis of patients who are classified under c...

Feb 2026 41656951
Factors Associated with Machine Learning-Based Predictions of Retinal Aging Using Teleretinal Screening Images from Patients with Diabetes.

PURPOSE: To identify factors associated with accelerated retinal aging based on machine learning pre...

Feb 2026 41853569
Artificial Intelligence-assisted Diagnosis of Carotid Artery Calcifications on Panoramic Radiographs: A Meta-analysis.

Carotid artery calcifications (CACs), a known risk factor for stroke, can be detected on panoramic r...

Feb 2026 41655403
TPCNet: A Temporal Periodicity Convolutional Network for motor imagery EEG decoding in stroke patients.

BACKGROUND: Stroke caused by vascular rupture or blockage has high incidence and leads to significan...

Feb 2026 41655642
Developing and validating a machine learning model for predicting post-thrombolysis seizures in acute ischemic stroke.

Post-stroke seizures (PSS) manifests variably due to ischemic brain injury, yet its risk factors rem...

Feb 2026 41650080
A scoping review of portable ultra-low-field MRI studies in patients with acquired brain injury: Past, present, and future.

Acquired Brain Injury (ABI) refers to any post-birth damage to the brain, commonly resulting from tr...

Feb 2026 41685206
Validation of socialbit as a smartwatch algorithm for social interaction detection in a clinical population.

Social interaction supports brain health and recovery after neurological injury. Yet no validated to...

Feb 2026 41639237
A hybrid swin transformer-BiLSTM framework and ensemble learning for multimodal brain stroke detection and risk prediction.

Stroke is one of the leading causes of mortality and long-term disability worldwide, primarily resul...

Feb 2026 41637821
A rapid and accurate guanidine CEST imaging in ischemic stroke using a machine learning approach.

OBJECTIVE: Rapid and accurate mapping of brain tissue pH is crucial for early diagnosis and manageme...

Feb 2026 41633047
Machine Learning Models for Predicting Stroke-Associated Pneumonia: A Systematic Review and Meta-Analysis.

Stroke-associated pneumonia (SAP) is a frequent and severe complication following stroke. Recently, ...

(1)
Feb 2026 41634499
Prediction of recurrent ischemic stroke using machine learning from real-world data.

BACKGROUND: Recurrent ischemic stroke (RIS) is a significant challenge in Malaysia, affecting approx...

Feb 2026 41634608
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