Cardiovascular

Strokes

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

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Showing 295-315 of 3,933 articles
Patient and Facility Factors Associated with Uptake of NTAP-Billed AI to Identify Suspected LVO in Ischemic Stroke.

PURPOSE: Medicare's New Technology Add-On Payment (NTAP) incentivizes the adoption of innovative tec...

(5)
Jun 2026 42342375
Retinal Vessel Traits and the Risk of Stroke: The Canadian Longitudinal Study on Aging.

PURPOSE: Retinal vascular changes could serve as an early, easily visible indicator of cerebrovascul...

Jun 2026 42564809
Predicting mortality risk in hospitalized ACS patients with hypertensive comorbidity: an interpretable machine learning approach.

BACKGROUND: Hypertension serves as a prevalent health issue, particularly in South Asia, where it is...

Jun 2026 42337519
GaitNet: Transfer Learning-Enhanced CNN-GRU Architecture for Intention Detection in Healthy and Post-Stroke Participants.

Highly accurate, data-efficient, and real-time detection of human motion intention is essential for ...

Jun 2026 42335064
Objective dyspnea measurement in real time using a forehead wearable and artificial intelligence.

Dyspnea is a complex symptom measured using subjective patient-reported ratings. Continuous, automat...

(1)
Jun 2026 42336852
Machine learning based prediction models for first stroke in community primary care: a systematic review and meta-analysis.

BACKGROUND: Stroke is the third leading cause of death and the fourth leading cause of disability gl...

Jun 2026 42332728
Wearable devices for atrial fibrillation: diagnostic and screening roles of ECG and PPG-A systematic review.

OBJECTIVE: Atrial fibrillation (AF) is a major predictor of heart failure, stroke, and mortality. Tr...

Jun 2026 42332956
Dual-Module Near-Infrared Fluorophores Discovery System via Knowledge Transfer.

In vivo near-infrared (NIR) imaging is an emerging technique in biomedical research. It is particula...

Jun 2026 42325111
Age-related metabolomic signatures and stroke susceptibility in a population-based cohort.

Aging-related metabolic dysregulation and vascular vulnerability contribute substantially to stroke ...

Jun 2026 42329535
Left Ventricular Thrombus in Ischemic Heart Failure: Machine-learning-based Prediction of Six-month Persistence and One-year Outcomes.

Left ventricular thrombus (LVT) in ischemic heart failure carries embolic risk; tools to anticipate ...

(1)
Jun 2026 42329547
EMBC Special Issue: Non-invasive BP Estimation via Carotid-Brachial-Radial Coupling: A Physics-Informed Asymmetric Cycle Network Approach.

Photoplethysmogram (PPG) based cuffless blood pressure (BP) monitoring holds significant potential t...

Jun 2026 42329923
An interpretable combinatorial data-mining framework for predicting new-onset hypertension in the general population.

We previously established an interpretable combinatorial data-mining framework to identify combinati...

Jun 2026 42332083
Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study.

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of su...

Jun 2026 42323953
Machine learning-based prediction model for long-term mortality after ischemic stroke.

Stroke, a leading cause of death, requires precise predictions of life expectancy. Traditional score...

Jun 2026 42324308
Identifying Patients at Elevated Risk of Stroke After.

BACKGROUND: Transcarotid artery revascularization (TCAR) has assumed a significant role in the surgi...

(1)
Jun 2026 42323112
Circulating acidic α-glucosidase as a potential biomarker for lactate-related immunometabolism in ischemic stroke.

BACKGROUND: The role of lactate metabolism in ischemic stroke (IS) remains incompletely understood. ...

Jun 2026 42323125
A machine learning-based framework for predicting hypertension using serum hematological factors.

Hypertension (HTN) is a leading global cause of cardiovascular disease (CVD) and all-cause mortality...

Jun 2026 42323443
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