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

Eisenberg, E., Miller, R. J. H., Hu, L.-H., Rios, R., Betancur, J., Azadani, P., Han, D., Sharir, T., Einstein, A. J., Bokhari, S., Fish, M. B., Ruddy, T. D., Kaufmann, P. A., Sinusas, A. J., Miller, E. J., Bateman, T. M., Dorbala, S., Di Carli, M., Liang, J. X., … Slomka, P. J. (2022). Diagnostic safety of a machine learning-based automatic patient selection algorithm for stress-only myocardial perfusion SPECT. Journal of Nuclear Cardiology, 29(5), 2295–2307. https://doi.org/10.1007/s12350-021-02698-4
Authors:
Evann Eisenberg
Robert J. H. Miller
Lien-Hsin Hu
Richard Rios
Julian Betancur
Peyman 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 Di Carli
Joanna X. Liang
Yuka Otaki
Balaji K. Tamarappoo
Damini Dey
Daniel S. Berman
Piotr J. Slomka
Affiliated Authors:
Andrew J. Einstein
Sabahat Bokhari
Author Keywords:
coronary artery disease
machine learning
nuclear stress testing
spect-mpi
stress-only
Publication Type:
Article
Unique ID:
10.1007/s12350-021-02698-4
PMID:
Publication Date:
Data Source:
Scopus

Record Created: