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Editorial
. 2022 Mar;15(3):487-488.
doi: 10.1016/j.jcmg.2021.10.002. Epub 2021 Nov 17.

How Gold Is the Gold Standard for Machine Learning-Based CT-FFR?

Celina M Yong  1 , William F Fearon  2
Affiliations
Free article
Editorial

How Gold Is the Gold Standard for Machine Learning-Based CT-FFR?

Celina M Yong et al. JACC Cardiovasc Imaging. 2022 Mar.
Free article
No abstract available

Keywords: coronary artery disease, fractional flow reserve, machine learning.

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Conflict of interest statement

Funding Support and Author Disclosures Dr Fearon has received research grants from Abbott, Boston Scientific, and Medtronic; consults with CathWorks; and has minor stock options with HeartFlow. Dr Yong has reported that she has no relationships relevant to the contents of this paper to disclose.

Comment on

  • Combined cCTA and TAVR Planning for Ruling Out Significant CAD: Added Value of ML-Based CT-FFR.
    Gohmann RF, Pawelka K, Seitz P, Majunke N, Heiser L, Renatus K, Desch S, Lauten P, Holzhey D, Noack T, Wilde J, Kiefer P, Krieghoff C, Lücke C, Gottschling S, Ebel S, Borger MA, Thiele H, Panknin C, Horn M, Abdel-Wahab M, Gutberlet M. Gohmann RF, et al. JACC Cardiovasc Imaging. 2022 Mar;15(3):476-486. doi: 10.1016/j.jcmg.2021.09.013. Epub 2021 Nov 17. JACC Cardiovasc Imaging. 2022. PMID: 34801449

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