Diagnostic safety of a machine learning-based automatic patient selection algorithm for stress-only myocardial perfusion SPECT | Zendy

Evann Eisenberg | Zendy; Robert J.H. Miller | Zendy; Lien-Hsin Hu | Zendy; Richard Ríos | Zendy; Julián Betancur | Zendy; Peyman N. Azadani | Zendy; Donghee Han | Zendy; Tali Sharir | Zendy; Andrew J. Einstein | Zendy; Sabahat Bokhari | Zendy; Mathews B. Fish | Zendy; Terrence D. Ruddy | Zendy; Philipp A. Kaufmann | Zendy; Albert J. Sinusas | Zendy; Edward J. Miller | Zendy; Timothy M. Bateman | Zendy; Sharmila Dorbala | Zendy; Marcelo F. Di Carli | Zendy; Joanna X. Liang | Zendy; Yuka Otaki | Zendy; Balaji Tamarappoo | Zendy; Damini Dey | Zendy; Daniel S. Berman | Zendy; Piotr J. Slomka | Zendy

Open Access

Diagnostic 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 A. Kaufmann,

Albert J. Sinusas,

Edward J. Miller,

Timothy M. Bateman,

Sharmila Dorbala,

Marcelo F. Di Carli,

Joanna X. Liang,

Yuka Otaki,

Balaji Tamarappoo,

Damini Dey,

Daniel S. Berman,

Piotr J. Slomka

Publication year - 2021

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

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