Performance of an artificial intelligence-guided quantitative coronary computed tomography algorithm for predicting myocardial ischemia in real-world practice

Authors

Ronald P Karlsberg, Cardiovascular Research Foundation of Southern California - Cedars-Sinai Smidt Heart Institute, Los Angeles, CA, USA.
Nick S Nurmohamed, The George Washington University School of Medicine, Washington, DC, USA.
Carlos G Quesada, Cardiovascular Research Foundation of Southern California - Cedars-Sinai Smidt Heart Institute, Los Angeles, CA, USA.
Bruce A Samuels, Cardiovascular Research Foundation of Southern California - Cedars-Sinai Smidt Heart Institute, Los Angeles, CA, USA.
Suhail Dohad, Cardiovascular Research Foundation of Southern California - Cedars-Sinai Smidt Heart Institute, Los Angeles, CA, USA.
Lauren R Anderson, Cardiovascular Research Foundation of Southern California - Cedars-Sinai Smidt Heart Institute, Los Angeles, CA, USA.
Tami Crabtree, Cleerly Inc., Denver, CO, USA.
James K Min, Cleerly Inc., Denver, CO, USA.
Andrew D Choi, The George Washington University School of Medicine, Washington, DC, USA.
James P Earls, The George Washington University School of Medicine, Washington, DC, USA.

Document Type

Journal Article

Publication Date

8-1-2024

Journal

International journal of cardiology. Heart & vasculature

Volume

53

DOI

10.1016/j.ijcha.2024.101433

APA Citation

P Karlsberg, Ronald; S Nurmohamed, Nick; G Quesada, Carlos; A Samuels, Bruce; Dohad, Suhail; R Anderson, Lauren; Crabtree, Tami; K Min, James; D Choi, Andrew; and P Earls, James, "Performance of an artificial intelligence-guided quantitative coronary computed tomography algorithm for predicting myocardial ischemia in real-world practice" (2024). GW Authored Works. Paper 5554.
https://hsrc.himmelfarb.gwu.edu/gwhpubs/5554

Department

Radiology