Research highlights
European Heart Journal | Severe Aortic Stenosis
This study demonstrates strong agreement between AI-based and expert cardiologist measurements of aortic valve hemodynamics, highlighting the potential of automated tools to streamline echocardiographic assessment of aortic stenosis.
European Heart Journal | Effect of Image Quality
This multicenter study reveals that echocardiographic image quality significantly impacts the accuracy and yield of machine learning–based automated left heart measurements, underscoring the importance of high-quality imaging in AI-assisted diagnostics.
European Heart Journal | Diastolic Function
Explore how deep learning enables automated assessment of left ventricular function in this innovative study.
European Heart Journal | Ligence AI Surpasses Human when Compared to CT
Discover how a fully automated AI system achieves accurate left ventricular measurements in this groundbreaking study.
European Heart Journal
P1465
Artificial intelligence in echocardiography – Steps to automatic cardiac measurements in routine practice
European Heart Journal
Accurate prediction of left ventricular diastolic dysfunction in 2D echocardiography using ensemble of deep convolutional neural networks
Cardiovascular Imaging
544 Deep learning in segmentation and function evaluation of right ventricle in 2D echocardiography
Cardiovascular Imaging
Automated evaluation of the right-sided heart function and geometry using deep learning
Echocardiography
Artificial intelligence for automated evaluation of aortic measurements in 2D echocardiography: Feasibility, accuracy, and reproducibility