Coronary Artery Disease Learning and Algorithm Development (CADLAD) Clinical Study
At Analytics 4 Life, we are committed to developing a revolutionary form of cardiac imaging for CAD by machine learning from using paired physiologic data and gold standard results, all completely source-verified from participating sites.
A two-stage study is being conducted to develop and compare the performance of a machine-learned algorithm to detect cardiac health affected by the presence of CAD by pairing a patient’s physiologic signals with their cardiac catheterization results.
A clinical diagnosis of significant coronary artery disease is defined as either a ≥ 70% stenosis or a reduced fractional flow rate of <0.80 in the major coronary arteries and their distributions, including the left main artery (LMA), left anterior descending artery (LAD), circumflex artery (LCX), and the right coronary artery (RCA).
Caution—Investigational Device. Limited by Federal Law to Investigational Use. CorVista is not available for commercial distribution.
Transcatheter Cardiovascular Therapeutics (TCT) 2017
American College of Cardiology (ACC) 2017