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Peer-Reviewed Publication
J Cardiovasc Comput Tomogr2023;17(6):471-472.January 1, 2023Letter

Evaluation for artificial intelligence-based coronary artery calcification scoring model efficiency and accuracy.

Anahita Tavoosi1, Abdul Rahman Ihdayhid2, John Konstantopoulos3, Simon Kwok3, Jack Joyner3, Michelle C Williams4, David E Newby4, Brian Ko5, Girish Dwivedi6, Benjamin J W Chow7
1University of Ottawa Heart Institute, Department of Medicine (Cardiology), Canada.
2Harry Perkins Institute of Medical Research, Perth, Australia; Curtin Medical School, Curtin University, Perth, Australia; Department of Cardiology, Fiona Stanley Hospital, Perth, Australia.
3Artrya Ltd, Perth, Australia.
4Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, Scotland, UK.
5Monash Cardiovascular Research Centre, Monash University and Monash Heart, Monash Health, Melbourne, Australia.
6Harry Perkins Institute of Medical Research, Perth, Australia; Department of Cardiology, Fiona Stanley Hospital, Perth, Australia; University of Western Australia, Perth, Australia.
7University of Ottawa Heart Institute, Department of Medicine (Cardiology), Canada; University of Ottawa, Department of Radiology, Canada. Electronic address: bchow@ottawaheart.ca.
PubMed DOI

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