1. First-In-Man Development of a Machine Learning Analytics Approach to Predict Elevated Left Ventricular Pressures
2. Coronary Artery Disease Learning and Algorithm Development Study: Early Analysis of Ejection Fraction Evaluation
1. Cardiac Phase Space Tomography: A novel method of assessing coronary artery disease utilizing machine learning
2. TCT-232 Diagnostic Accuracy of Machine Learned Algorithms Utilizing a Novel Form of Cardiac Phase Tomography (cPST) versus Single Photon Emission Tomography (SPECT) in the Assessment of CAD
3. TCT-233 Machine-Learned Algorithms Utilizing Novel Tomography for Evaluating Coronary Artery Disease
4. Noninvasive Detection of Coronary Artery Disease Using Resting Phase Signals and Advanced Machine Learning
5. TCT-154 Gender based Assessment of Coronary Artery Disease by Cardiac Phase Tomography Using Machine-Learned Algorithms
6. TCT-177 Assessing Coronary Artery Disease by Cardiac Phase Tomography Using Machine-Learned Algorithms in Obese and Elderly Subjects
