Cardiovascular

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

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Carotid Vessel Wall Segmentation Through Domain Aligner, Topological Learning, and Segment Anything Model for Sparse Annotation in MR Images.

Medical image analysis poses significant challenges due to limited availability of clinical data, wh...

Pathological Asymmetry-Guided Progressive Learning for Acute Ischemic Stroke Infarct Segmentation.

Quantitative infarct estimation is crucial for diagnosis, treatment and prognosis in acute ischemic ...

Universal representations in cardiovascular ECG assessment: A self-supervised learning approach.

BACKGROUND: The 12-lead electrocardiogram (ECG) is an established modality for cardiovascular assess...

Evaluation of Information About Cardiovascular Implications of Gender-Affirming Care From Online Chat-based Artificial Intelligence Systems.

Because of restrictive laws in multiple states for gender-affirming care, patients might be prompted...

Addressing hidden risks: Systematic review of artificial intelligence biases across racial and ethnic groups in cardiovascular diseases.

BACKGROUND: Artificial intelligence (AI)-based models are increasingly being integrated into cardiov...

Identification of an immune-related gene panel for the diagnosis of pulmonary arterial hypertension using bioinformatics and machine learning.

OBJECTIVE: This study aimed to screen an immune-related gene (IRG) panel and develop a novel approac...

Integrating Metabolomics Domain Knowledge with Explainable Machine Learning in Atherosclerotic Cardiovascular Disease Classification.

Metabolomic data often present challenges due to high dimensionality, collinearity, and variability ...

Evaluating AI proficiency in nuclear cardiology: Large language models take on the board preparation exam.

BACKGROUND: Previous studies evaluated the ability of large language models (LLMs) in medical discip...

Left Atrial Wall Thickness Measured by a Machine Learning Method Predicts AF Recurrence After Pulmonary Vein Isolation.

BACKGROUND: Left atrial (LA) remodeling plays a significant role in the progression of atrial fibril...

Long-duration electrocardiogram classification based on Subspace Search VMD and Fourier Pooling Broad Learning System.

Detecting early stages of cardiovascular disease from short-duration Electrocardiogram (ECG) signals...

Fair and explainable Myocardial Infarction (MI) prediction: Novel strategies for feature selection and class imbalance correction.

The rising incidences of myocardial infarction (MI), often affecting individuals without traditional...

A novel deep learning based method for myocardial strain quantification.

This paper introduces a deep learning method for myocardial strain analysis while also evaluating th...

Raw photoplethysmogram waveforms versus peak-to-peak intervals for machine learning detection of atrial fibrillation: Does waveform matter?

BACKGROUND: Machine learning-based analysis can accurately detect atrial fibrillation (AF) from phot...

Machine learning-based diagnostic model for stroke in non-neurological intensive care unit patients with acute neurological manifestations.

Stroke is a neurological complication that can occur in patients admitted to the intensive care unit...

DeepCTG® 2.0: Development and validation of a deep learning model to detect neonatal acidemia from cardiotocography during labor.

Cardiotocography (CTG) is the main tool available to detect neonatal acidemia during delivery. Prese...

RS-MOCO: A deep learning-based topology-preserving image registration method for cardiac T1 mapping.

Cardiac T1 mapping can evaluate various clinical symptoms of myocardial tissue. However, there is cu...

Predicting Survival and Recurrence of Lung Ablation Patients Using Deep Learning-Based Automatic Segmentation and Radiomics Analysis.

PURPOSE: To predict survival and tumor recurrence following image-guided thermal ablation (IGTA) of ...

Identification of CCR7 and CBX6 as key biomarkers in abdominal aortic aneurysm: Insights from multi-omics data and machine learning analysis.

Abdominal aortic aneurysm (AAA) is a severe vascular condition, marked by the progressive dilation o...

Automated Classification of Coronary Plaque on Intravascular Ultrasound by Deep Classifier Cascades.

Intravascular ultrasound (IVUS) is the gold standard modality for in vivo visualization of coronary ...

Boosting Cardiac Color Doppler Frame Rates With Deep Learning.

Color Doppler echocardiography enables visualization of blood flow within the heart. However, the li...

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