Clinical Deployment of Explainable Artificial Intelligence of SPECT for Diagnosis of Coronary Artery Disease
Author(s) -
Yuka Otaki,
Ananya Singh,
Paul Kavanagh,
Robert J.H. Miller,
Tejas Parekh,
Balaji Tamarappoo,
Tali Sharir,
Andrew J. Einstein,
Mathews B. Fish,
Terrence D. Ruddy,
Philipp A. Kaufmann,
Albert J. Sinusas,
Edward J. Miller,
Timothy M. Bateman,
Sharmila Dorbala,
Marcelo F. Di Carli,
Sebastien Cadet,
Joanna X. Liang,
Damini Dey,
Daniel S. Berman,
Piotr J. Slomka
Publication year - 2021
Publication title -
jacc. cardiovascular imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.79
H-Index - 120
eISSN - 1936-878X
pISSN - 1876-7591
DOI - 10.1016/j.jcmg.2021.04.030
Subject(s) - coronary artery disease , medicine , cad , receiver operating characteristic , myocardial perfusion imaging , area under the curve , radiology , single photon emission computed tomography , cardiology , perfusion , nuclear medicine , engineering drawing , engineering
Explainable artificial intelligence (AI) can be integrated within standard clinical software to facilitate the acceptance of the diagnostic findings during clinical interpretation.
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