Machine Learning and Computational Fluid Dynamics Derived Ffrct Demonstrate Comparable Diagnostic Performance in Patients With Coronary Artery Disease; a Systematic Review and Meta-Analysis ML-based FFRCT matched CFD specificity but lower sensitivity for coronary stenosis; promising with tweaks. #Cardiology #FFRCT

ML-based FFRCT matched CFD specificity but lower sensitivity for coronary stenosis; promising with tweaks. #Cardiology #FFRCT
www.rimpacts.com/rd/p?c=10022... 📄DOI: doi.org/10.1016/j.jc...

FFR-CT: AI tool predicts heart attack risk in angina patients Measured using an artificial intelligence-based imaging tool, reduced coronary blood flow predicted future cardiovascular events in patients with suspected stable coronary artery disease.

Can #CT-derived fractional flow reserve (FFR-CT) be used in patients with #angina to predict future major #cardiovascular events? A novel AI-based approach for #CCTA analysis presented at @escardio.bsky.social #EACVI2025 yields promising results. #FFRCT

Free SCCT-endorsed MedAxiom webinar | Critical Revenue Integrity Updates to Optimize CCTA & FFRCT Reimbursement | 📅 Thursday, May 22 | 🕐 1:00pm ET
#CardioSky #RevenueIntegrity #CCTA #FFRCT #CardiovascularHealth #MedicalBilling #HealthcareCompliance #AIinCardiology

👉 ow.ly/EErP50VTUzM