Cardiovascular

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

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Machine learning-based hemodynamics quantitative assessment of pulmonary circulation using computed tomographic pulmonary angiography.

BACKGROUND: Pulmonary hypertension (pH) is a malignant pulmonary circulation disease. Right heart ca...

A Mixed-attention Network for Automated Interventricular Septum Segmentation in Bright-blood Myocardial T2* MRI Relaxometry in Thalassemia.

RATIONALE AND OBJECTIVES: This study develops a deep-learning method for automatic segmentation of t...

Evaluating performance of large language models for atrial fibrillation management using different prompting strategies and languages.

This study evaluated large language models (LLMs) using 30 questions, each derived from a recommenda...

Phantom-Based Ultrasound-ECG Deep Learning Framework for Prospective Cardiac Computed Tomography.

OBJECTIVE: We present the first multimodal deep learning framework combining ultrasound (US) and ele...

Evaluating the impact of metabolic indicators and scores on cardiovascular events using machine learning.

Cardiovascular diseases such as coronary artery disease, myocardial infarction, and heart failure im...

Cryo-ablation management of atrial fibrillation in Fabry disease without agalsidase alpha: a case report.

Fabry disease (FD) is a rare genetic disorder caused by mutations in the gene, affecting multiple o...

Benchmarking machine learning models in lesion-symptom mapping for predicting language outcomes in stroke survivors.

Several decades of research have investigated the neural connections between stroke-induced brain da...

Machine learning approaches for cardiovascular disease prediction: A review.

Cardiovascular disease is a leading cause of death worldwide and is associated with significant morb...

Divergent Immune Pathways in Coronary Artery Disease and Aortic Stenosis: The Role of Chronic Inflammation and Senescence.

Coronary artery disease (CAD) remains a major cause of cardiovascular morbidity and mortality, with ...

Gut microbiota, metabolites, and pulmonary hypertension: Mutual regulation and potential therapies.

Pulmonary hypertension is a progressive condition characterized by increased pulmonary vascular pres...

Macrophage histone lactylation in atherosclerosis progression: mechanisms, predictive models, and therapeutic potential of Ruan Jian Qing Mai formula.

AIMS: This study investigates the role of macrophage histone lactylation-a protein modification-in a...

Mild to moderate COPD, vitamin D deficiency, and longitudinal bone loss: the Multi-ethnic Study of Atherosclerosis.

OBJECTIVE: Despite the established association between chronic obstructive pulmonary disease (COPD) ...

Evaluation of a large language model to simplify discharge summaries and provide cardiological lifestyle recommendations.

BACKGROUND: Hospital discharge summaries are essential for the continuity of care. However, medical ...

Free-running isotropic three-dimensional cine magnetic resonance imaging with deep learning image reconstruction.

BACKGROUND: Cardiovascular magnetic resonance (CMR) cine imaging is the gold standard for assessing ...

Bioinformatics prediction of function of T-cell exhaustion related genes in ischemic stroke.

Ischemic stroke (IS) is a multifactorial disease caused by the interaction of a variety of environme...

Brugada syndrome.

Brugada syndrome (BrS) is a cardiac channelopathy associated with an elevated risk of arrhythmias an...

Deep learning reconstruction for improved image quality of ultra-high-resolution brain CT angiography: application in moyamoya disease.

PURPOSE: To investigate vessel delineation and image quality of ultra-high-resolution (UHR) CT angio...

The use of imaging in the diagnosis and treatment of thromboembolic pulmonary hypertension.

Chronic thromboembolic pulmonary hypertension (CTEPH) is a potentially life-threatening condition, c...

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