Skip to main content
  • Machine Learning-Based CT-FFR Lowers Invasive Coronary Angiography Rate vs. Standard Care in Stable CAD Patients – TARGET Trial

    However, CT-FFR also increased revascularization without improving symptoms or quality of life, trial shows

    Fewer patients with stable coronary artery disease (CAD) underwent invasive coronary angiography without requiring intervention within 90 days or obstructive disease when on-site computed tomography-derived fractional flow reserve (CT-FFR) with machine learning was used, a new study shows.

This site uses cookies. By continuing to browse the site you are agreeing to our use of cookies. Review our Privacy Policy for more details