Latest Articles for Cardiology

New technology enhances diagnosis of aortic valve disease through automated image analysis.

This study shows how SSL improves arrhythmia detection in ECG data.

A new method automates estimating LVEF from heart ultrasound videos for better patient care.

Study assesses outcomes of VA-ECMO in high-risk PCI patients.

A new model improves classification of cardiovascular disease using Raman data and medical history.

New study explores targeted vagus nerve stimulation for treating heart conditions.

Learn how Lp(a) and KIV-2 affect heart disease risks.

A study investigating cardiac dyssynchrony and its effects on heart failure patients.

Study reveals links between inflammation and heart problems in children with MIS-C.

New AI methods reveal insights for heart condition risk assessment.

Researchers develop a model to better understand heart fiber behavior and improve treatments.

A new model enhances segmentation of heart images for better AF management.

New methods improve heart imaging quality while reducing radiation exposure.

CDI-Net improves SPECT imaging quality while reducing radiation exposure.

Study compares CCTA and CMR in assessing ischemia for coronary artery disease.

Advancements in machine learning improve risk predictions for heart disease patients.

This research aims to improve predictions of cardiovascular disease using machine learning techniques.

AI is improving heart imaging and diagnosis efficiency with new datasets and models.

Study links low-voltage areas to serious health risks in AF patients.

Study analyzes ECG patterns for accurate Brugada syndrome identification.

Analysis of evolving treatments for aortic stenosis between 2012 and 2019.

New methods aim to make heart function assessment easier and more accessible.

A novel approach enhances ECG signal processing using self-supervised learning techniques.

Understanding the connection between LVH and albuminuria for better heart health.

Study shows MPI tests identify heart risks linked to surgery complications.

Combining imaging and clinical data enhances heart attack risk assessment.

Examining how climate factors influence atrial fibrillation risk.

AI technology is transforming how ECGs are analyzed for heart health.

Research highlights Notch3's role in left-right asymmetry during heart formation.

Study looks at outcomes for patients using Impella and VA-ECMO support.

A new machine learning approach improves the accuracy of diagnosing aortic stenosis.

Creating synthetic MRI images to aid machine learning in heart health analysis.

Combining FFR measurements with plaque analysis improves heart disease assessment.

A review aimed at clarifying angioplasty impacts on heart health in CTO patients.

New methods improve understanding of heart tissue mechanics.

New techniques enhance detection of heart murmurs, improving diagnosis and patient care.

A new framework improves heart failure risk identification and patient care.

This study focuses on analyzing ECG signals to improve heart disease diagnosis.

Transformers are changing how we analyze and diagnose heart conditions using ECG data.

Echo-ODE advances echocardiography segmentation for better heart health assessments.