Hospital Healthcare Europe

Machine learning-assisted mapping of VT ablation targets: progress and potential

Dr Michele Orini shares how machine learning can help identify critical VT ablation targets for a safer, data-driven ...
Kaleido Scope

Girish Melkani and Team Leverage Machine Learning to Uncover Insights into Cardiac Aging and Disease

Melkani's study, “Automated assessment of cardiac dynamics in aging and dilated cardiomyopathy Drosophila models using machine learning,” was published in Communications Biology (A Nature Portfolio ...
Open Heart

Machine learning-based cardiovascular risk calculator for non-cardiac surgery

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Healio

AI could boost detection of familial hypercholesterolemia

Please provide your email address to receive an email when new articles are posted on . Familial hypercholesterolemia is underdiagnosed and undertreated. A novel machine learning algorithm identified ...
WRIC

Results from Cardiosense's SEISMIC-HF I Study of a Machine Learning Model to Non-Invasively Assess Cardiac Filling Pressure Presented as Late-Breaking Science at American Heart ...

SEISMIC-HF I enrolled a large, demographically diverse population across 15 sites Results are an important step toward enabling widespread, non-invasive hemodynamic-guided heart failure management ...