Diagnostic performance of artificial intelligence-based coronary artery analysis in the emergency department: A multicenter study
- DOI
- 10.1016/j.jcct.2026.09.005
- Published
- 2026-09
- Container
- Journal of Cardiovascular Computed Tomography
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.jcct.2026.09.005,
title = {Diagnostic performance of artificial intelligence-based coronary artery analysis in the emergency department: A multicenter study},
author = {Ji Won Lee and Kyunghwa Han and Jin Young Kim and Kye Ho Lee and Dong Jin Im and Na Young Kim and Byoung Wook Choi and Max Schöbinger and Seongyong Pak and Jin Hur},
year = {2026},
journal = {Journal of Cardiovascular Computed Tomography},
doi = {10.1016/j.jcct.2026.09.005},
url = {https://doi.org/10.1016/j.jcct.2026.09.005}
}RIS
TY - JOUR TI - Diagnostic performance of artificial intelligence-based coronary artery analysis in the emergency department: A multicenter study AU - Ji Won Lee AU - Kyunghwa Han AU - Jin Young Kim AU - Kye Ho Lee AU - Dong Jin Im AU - Na Young Kim AU - Byoung Wook Choi AU - Max Schöbinger AU - Seongyong Pak AU - Jin Hur PY - 2026 JO - Journal of Cardiovascular Computed Tomography DO - 10.1016/j.jcct.2026.09.005 UR - https://doi.org/10.1016/j.jcct.2026.09.005 ER -
APA
Lee, J. W., Han, K., Kim, J. Y., Lee, K. H., Im, D. J., Kim, N. Y., Choi, B. W., Schöbinger, M., Pak, S., & Hur, J. (2026). Diagnostic performance of artificial intelligence-based coronary artery analysis in the emergency department: A multicenter study. Journal of Cardiovascular Computed Tomography. https://doi.org/10.1016/j.jcct.2026.09.005
Source records
- crossref · retrieved 2026-09-26T20:32:01.475Z