Peer-Reviewed Publication
Diagnostics (Basel)2024;14(10)May 8, 2024Journal Article
Clinical Validation of a Machine-Learned, Point-of-Care System to IDENTIFY Functionally Significant Coronary Artery Disease.
Thomas D Stuckey1, Frederick J Meine2, Thomas R McMinn3, Jeremiah P Depta4, Brett A Bennett5, Thomas F McGarry6, William S Carroll7, David D Suh8, John A Steuter9, Michael C Roberts10, Horace R Gillins11, Farhad Fathieh12, Timothy Burton12, Navid Nemati12, Ian P Shadforth11, Shyam Ramchandani12, Charles R Bridges11, Mark G Rabbat13
1Cone Health Heart and Vascular Center, Greensboro, NC 27401, USA.
2Novant Health New Hanover Regional Medical Center, Wilmington, NC 28401, USA.
3Austin Heart, Austin, TX 78705, USA.
4Rochester General Hospital, Rochester, NY 14621, USA.
5Jackson Heart Clinic, Jackson, MS 39216, USA.
6Oklahoma Heart Hospital, Oklahoma City, OK 73120, USA.
7Cardiology Associates of North Mississippi, Tupelo, MS 38801, USA.
8Atlanta Heart Specialists, Tucker, GA 30084, USA.
9Bryan Heart, Lincoln, NE 68506, USA.
10Lexington Medical Center Heart & Vascular, West Columbia, SC 29169, USA.
11CorVista Health, Inc., Bethesda, MD 20814, USA.
12Analytics for Life, Inc., Toronto, ON M5X 1C9, Canada.
13Loyola University Medical Center, Maywood, IL 60153, USA.
Abstract
Many clinical studies have shown wide performance variation in tests to identify coronary artery disease (CAD). Coronary computed tomography angiography (CCTA) has been identified as an effective rule-out test but is not widely available in the USA, particularly so in rural areas. Patients in rural areas are underserved in the healthcare system as compared to urban areas, rendering it a priority p…
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