Cardiovascular

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

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LazyAct: Lazy actor with dynamic state skip based on constrained MDP.

Deep reinforcement learning has achieved significant success in complex decision-making tasks. Howev...

PlaqueViT: a vision transformer model for fully automatic vessel and plaque segmentation in coronary computed tomography angiography.

OBJECTIVES: To develop and evaluate a deep learning model for segmentation of the coronary artery ve...

Deep Learning-Enhanced Chemiluminescence Vertical Flow Assay for High-Sensitivity Cardiac Troponin I Testing.

Democratizing biomarker testing at the point-of-care requires innovations that match laboratory-grad...

Decoding the cytokine code for heart failure based on bioinformatics, machine learning and Bayesian networks.

BACKGROUND: Despite maximal pharmacological treatment guided by clinical guidelines, the prognosis o...

Deep learning-based CT-free attenuation correction for cardiac SPECT: a new approach.

BACKGROUND: Computed tomography attenuation correction (CTAC) is commonly used in cardiac SPECT imag...

Multi-modal dataset creation for federated learning with DICOM-structured reports.

Purpose Federated training is often challenging on heterogeneous datasets due to divergent data stor...

Development and Evaluation of a Deep Learning-Based Pulmonary Hypertension Screening Algorithm Using a Digital Stethoscope.

BACKGROUND: Despite the poor outcomes related to the presence of pulmonary hypertension, it often go...

Unlocking the link: predicting cardiovascular disease risk with a focus on airflow obstruction using machine learning.

BACKGROUND: Respiratory diseases and Cardiovascular Diseases (CVD) often coexist, with airflow obstr...

A machine learning-based model for predicting paroxysmal and persistent atrial fibrillation based on EHR.

BACKGROUND: There is no effective way to accurately predict paroxysmal and persistent atrial fibrill...

Navigating the future of pediatric cardiovascular surgery: Insights and innovation powered by Chat Generative Pre-Trained Transformer (ChatGPT).

INTRODUCTION: Interdisciplinary consultations are essential to decision-making for patients with con...

Cardiac Heterogeneity Prediction by Cardio-Neural Network Simulation.

The bidirectional interactions between brain and heart through autonomic nervous system is the prime...

Machine learning techniques for independent gait recovery prediction in acute anterior circulation ischemic stroke.

OBJECTIVE: This study aimed to develop and validate a machine learning-based predictive model for ga...

A continuous-action deep reinforcement learning-based agent for coronary artery centerline extraction in coronary CT angiography images.

The lumen centerline of the coronary artery allows vessel reconstruction used to detect stenoses and...

Using machine learning to predict outcomes following transcarotid artery revascularization.

Transcarotid artery revascularization (TCAR) is a relatively new and technically challenging procedu...

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