Characteristics and Thresholds of Coronary Lesions to Predict Acute Coronary Syndrome From Artificial Intelligence-Guided Coronary Computed Tomography Angiography
- DOI
- 10.1016/j.jcmg.2026.09.007
- Published
- 2026-11
- Container
- JACC: Cardiovascular Imaging
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.jcmg.2026.09.007,
title = {Characteristics and Thresholds of Coronary Lesions to Predict Acute Coronary Syndrome From Artificial Intelligence-Guided Coronary Computed Tomography Angiography},
author = {Sarah Bär and Juhani Knuuti and Antti Saraste and Tanja Kero and Jeroen J. Bax and Nick S. Nurmohamed and Ruurt A. Jukema and Paul Knaapen and Ibrahim Danad and Teemu Maaniitty},
year = {2026},
journal = {JACC: Cardiovascular Imaging},
doi = {10.1016/j.jcmg.2026.09.007},
url = {https://doi.org/10.1016/j.jcmg.2026.09.007}
}RIS
TY - JOUR TI - Characteristics and Thresholds of Coronary Lesions to Predict Acute Coronary Syndrome From Artificial Intelligence-Guided Coronary Computed Tomography Angiography AU - Sarah Bär AU - Juhani Knuuti AU - Antti Saraste AU - Tanja Kero AU - Jeroen J. Bax AU - Nick S. Nurmohamed AU - Ruurt A. Jukema AU - Paul Knaapen AU - Ibrahim Danad AU - Teemu Maaniitty PY - 2026 JO - JACC: Cardiovascular Imaging DO - 10.1016/j.jcmg.2026.09.007 UR - https://doi.org/10.1016/j.jcmg.2026.09.007 ER -
APA
Bär, S., Knuuti, J., Saraste, A., Kero, T., Bax, J. J., Nurmohamed, N. S., Jukema, R. A., Knaapen, P., Danad, I., & Maaniitty, T. (2026). Characteristics and Thresholds of Coronary Lesions to Predict Acute Coronary Syndrome From Artificial Intelligence-Guided Coronary Computed Tomography Angiography. JACC: Cardiovascular Imaging. https://doi.org/10.1016/j.jcmg.2026.09.007
Source records
- crossref · retrieved 2026-11-07T23:35:04.809Z