Artificial Intelligence-Enhanced Perfusion Scoring Improves the Diagnostic Accuracy of Myocardial Perfusion Imaging

Miller, R. J. H., Kavanagh, P., Lemley, M., Liang, J. X., Sharir, T., Einstein, A. J., Fish, M. B., Ruddy, T. D., Kaufmann, P. A., Sinusas, A. J., Miller, E. J., Bateman, T. M., Dorbala, S., Di Carli, M., Hayes, S., Friedman, J., Berman, D. S., Dey, D., & Slomka, P. J. (2025). Artificial Intelligence–Enhanced Perfusion Scoring Improves the Diagnostic Accuracy of Myocardial Perfusion Imaging. Journal of Nuclear Medicine, jnumed.124.268079. https://doi.org/10.2967/jnumed.124.268079
Authors:
Robert J H Miller
Paul Kavanagh
Mark Lemley
Joanna X Liang
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
Sean Hayes
John Friedman
Daniel S Berman
Damini Dey
Piotr J Slomka
Affiliated Authors:
Andrew J Einstein
Author Keywords:
artificial intelligence
deep learning
diagnostic accuracy
myocardial perfusion imaging
quantification
Publication Type:
Article
Unique ID:
10.2967/jnumed.124.268079
PMID:
Publication Date:
Data Source:
PubMed

Record Created: