Explainable Deep Learning Improves Physician Interpretation of Myocardial Perfusion Imaging

Miller, R. J. H., Kuronuma, K., Singh, A., Otaki, Y., Hayes, S., Chareonthaitawee, P., Kavanagh, P., Parekh, T., Tamarappoo, B. K., Sharir, T., Einstein, A. J., Fish, M. B., Ruddy, T. D., Kaufmann, P. A., Sinusas, A. J., Miller, E. J., Bateman, T., Dorbala, S., Di Carli, M. F., … Slomka, P. J. (2022). Explainable Deep Learning Improves Physician Interpretation of Myocardial Perfusion Imaging. Journal of Nuclear Medicine, jnumed.121.263686. https://doi.org/10.2967/jnumed.121.263686
Authors:
Robert J H Miller
Keiichiro Kuronuma
Ananya Singh
Yuka Otaki
Sean Hayes
Panithaya Chareonthaitawee
Paul Kavanagh
Tejas Parekh
Balaji K 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 Di Carli
Sebastien Cadet
Joanna X Liang
Damini Dey
Daniel S Berman
Piotr J Slomka
Affiliated Authors:
Andrew J Einstein
Author Keywords:
artificial intelligence
deep learning
implementation
Publication Type:
Article
Unique ID:
10.2967/jnumed.121.263686
PMID:
Publication Date:
Data Source:
PubMed

Record Created: