Performance of artificial intelligence-based coronary CT angiography-derived fractional flow reserve across cohorts with different prevalence of obstructive coronary artery disease.
- DOI
- 10.1016/j.jcct.2026.10.003
- Published
- 2026 Oct 19
- Container
- Journal of cardiovascular computed tomography
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.jcct.2026.10.003,
title = {Performance of artificial intelligence-based coronary CT angiography-derived fractional flow reserve across cohorts with different prevalence of obstructive coronary artery disease.},
author = {Coerkamp CF and Gommers M and Takx RAP and Driessen RS and Verpalen VA and Knaapen P and Išgum I and Nurmohamed NS and Henriques JPS and Planken NR},
year = {2026},
journal = {Journal of cardiovascular computed tomography},
doi = {10.1016/j.jcct.2026.10.003},
url = {https://doi.org/10.1016/j.jcct.2026.10.003}
}RIS
TY - JOUR TI - Performance of artificial intelligence-based coronary CT angiography-derived fractional flow reserve across cohorts with different prevalence of obstructive coronary artery disease. AU - Coerkamp CF AU - Gommers M AU - Takx RAP AU - Driessen RS AU - Verpalen VA AU - Knaapen P AU - Išgum I AU - Nurmohamed NS AU - Henriques JPS AU - Planken NR PY - 2026 JO - Journal of cardiovascular computed tomography DO - 10.1016/j.jcct.2026.10.003 UR - https://doi.org/10.1016/j.jcct.2026.10.003 ER -
APA
CF, C., M, G., RAP, T., RS, D., VA, V., P, K., I, I., NS, N., JPS, H., & NR, P. (2026). Performance of artificial intelligence-based coronary CT angiography-derived fractional flow reserve across cohorts with different prevalence of obstructive coronary artery disease.. Journal of cardiovascular computed tomography. https://doi.org/10.1016/j.jcct.2026.10.003
Source records
- pubmed · retrieved 2026-11-10T20:07:16.261Z