Cardiovascular

Strokes

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

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A Uniform Framework for Handling Position Constraints in String Solving (Technical Report)

We introduce a novel decision procedure for solving the class of position string constraints, whic...

(2)
Deep Learning for Cardiovascular Risk Assessment: Proxy Features from Carotid Sonography as Predictors of Arterial Damage

In this study, hypertension is utilized as an indicator of individual vascular damage. This damage...

Going beyond explainability in multi-modal stroke outcome prediction models

Aim: This study aims to enhance interpretability and explainability of multi-modal prediction mode...

One Pic is All it Takes: Poisoning Visual Document Retrieval Augmented Generation with a Single Image

Multimodal retrieval augmented generation (M-RAG) has recently emerged as a method to inhibit hall...

Deep Learning Applications in Imaging of Acute Ischemic Stroke: A Systematic Review and Narrative Summary.

Background Acute ischemic stroke (AIS) is a major cause of morbidity and mortality, requiring swift ...

(1)
Apr 2025 40197098
Automated Bi-Ventricular Segmentation and Regional Cardiac Wall Motion Analysis for Rat Models of Pulmonary Hypertension.

Artificial intelligence-based cardiac motion mapping offers predictive insights into pulmonary hyper...

Apr 2025 40356847
Integrating Large Language Models with Human Expertise for Disease Detection in Electronic Health Records

Objective: Electronic health records (EHR) are widely available to complement administrative data-...

Diagnosis of Pulmonary Hypertension by Integrating Multimodal Data with a Hybrid Graph Convolutional and Transformer Network

Early and accurate diagnosis of pulmonary hypertension (PH) is essential for optimal patient manag...

Identification of hypertension subtypes using microRNA profiles and machine learning.

OBJECTIVE: Hypertension is a major cardiovascular risk factor affecting about 1 in 3 adults. Althoug...

(1)
Mar 2025 40105001
Machine Learning-Based Model for Postoperative Stroke Prediction in Coronary Artery Disease

Coronary artery disease remains one of the leading causes of mortality globally. Despite advances ...

Probing Network Decisions: Capturing Uncertainties and Unveiling Vulnerabilities Without Label Information

To improve trust and transparency, it is crucial to be able to interpret the decisions of Deep Neu...

(2)
EvalTree: Profiling Language Model Weaknesses via Hierarchical Capability Trees

An ideal model evaluation should achieve two goals: identifying where the model fails and providin...

Machine learning for triage of strokes with large vessel occlusion using photoplethysmography biomarkers

Objective. Large vessel occlusion (LVO) stroke presents a major challenge in clinical practice due...

Task-oriented Uncertainty Collaborative Learning for Label-Efficient Brain Tumor Segmentation

Multi-contrast magnetic resonance imaging (MRI) plays a vital role in brain tumor segmentation and...

(1)
State-of-the-Art Stroke Lesion Segmentation at 1/1000th of Parameters

Efficient and accurate whole-brain lesion segmentation remains a challenge in medical image analys...

(1)
Multimodal Lead-Specific Modeling of ECG for Low-Cost Pulmonary Hypertension Assessment

Pulmonary hypertension (PH) is frequently underdiagnosed in low- and middle-income countries (LMIC...

Estimating Blood Pressure with a Camera: An Exploratory Study of Ambulatory Patients with Cardiovascular Disease

Hypertension is a leading cause of morbidity and mortality worldwide. The ability to diagnose and ...

Artificial Intelligence-Enhanced Electrocardiography for Prediction of Incident Hypertension.

IMPORTANCE: Hypertension underpins significant global morbidity and mortality. Early lifestyle inter...

Mar 2025 39745684
Artificial Intelligence-Guided Lung Ultrasound by Nonexperts.

IMPORTANCE: Lung ultrasound (LUS) aids in the diagnosis of patients with dyspnea, including those wi...

Mar 2025 39813064
Sketch & Paint: Stroke-by-Stroke Evolution of Visual Artworks

Understanding the stroke-based evolution of visual artworks is useful for advancing artwork learni...

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