Open AccessDiagnostic safety of a machine learning-based automatic patient selection algorithm for stress-only myocardial perfusion SPECT
Author(s) -
Evann Eisenberg,
Robert J.H. Miller,
Lien-Hsin Hu,
Richard Ríos,
Julián Betancur,
Peyman N. Azadani,
Donghee Han,
Tali Sharir,
Andrew J. Einstein,
Sabahat Bokhari,
Mathews B. Fish,
Terrence D. Ruddy,
Philipp Kaufmann,
Albert J. Sinusas,
Edward J. Miller,
Timothy M. Bateman,
Sharmila Dorbala,
Marcelo Di Carli,
Jiaming Liang,
Yuka Otaki,
Balaji Tamarappoo,
Damini Dey,
Daniel S. Berman,
Piotr J. Slomka
Publication year - 2022
Publication title -
journal of nuclear cardiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.791
H-Index - 82
eISSN - 1532-6551
pISSN - 1071-3581
DOI - 10.1007/s12350-021-02698-4
Subject(s) - medicine , cad , coronary artery disease , myocardial perfusion imaging , stress testing (software) , algorithm , receiver operating characteristic , perfusion , stenosis , cardiology , radiology , artificial intelligence , computer science , engineering drawing , engineering , programming language