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Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
Published on: August 9, 2024
Thomas Stuckey1, Frederick Meine2, Thomas McMinn3
1Cone Health Heart and Vascular Center, Greensboro, NC, United States.
A new machine learning algorithm offers a non-invasive, radiation-free method for detecting coronary artery disease (CAD) in an office setting. This algorithm shows performance comparable to traditional tests, providing a convenient alternative for patients and physicians.
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