Automated AI-Based Aortic Measurements From Attenuation Correction CT as an Adjunctive Cardiovascular Risk Biomarker: An International Multicenter Study

Circulation: Cardiovascular Imaging · Published 2026-07-01 · DOI 10.1161/circimaging.125.019726

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Authors (32)

Anna M. Marcinkiewicz, Aakash Shanbhag, Panithaya Chareonthaitawee, Wenhao Zhang, Hasanian Al-Jilaihawi, Ryan Zaid, Sebastien Cadet, Giselle Ramirez, Mark Lemley, Jirong Yi, Waseem Hijazi, Valerie Builoff, Joanna X. Liang, Vinicius F. Calsavara, Andrew J. Einstein, Edward J. Miller, Attila Feher, Terrence D. Ruddy, Viet T. Le, Steve Mason, Stacey Knight, Erick Alexanderson, Isabel Carvajal-Juarez, Leandro Slipczuk, Mark I. Travin, Thomas L. Rosamond, Samuel Wopperer, Daniel S. Berman, Damini Dey, Marcelo F. Di Carli, Robert J.H. Miller, Piotr J. Slomka

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Publication details

Year

2026

Citation

Marcinkiewicz, A., Shanbhag, A., Chareonthaitawee, P., et al. (2026). Automated AI-Based Aortic Measurements From Attenuation Correction CT as an Adjunctive Cardiovascular Risk Biomarker: An International Multicenter Study. Circulation: Cardiovascular Imaging. https://doi.org/10.1161/circimaging.125.019726

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