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Practical Barriers to Real-World Implementation of Artificial Intelligence-Driven CT-Derived Fractional Flow Reserve

Moon Young Kim1,2, Kwang Nam Jin1,2, Yeon Hyeon Choe3,4

  • 1Department of Radiology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Republic of Korea.

Korean Journal of Radiology
|June 1, 2026
PubMed
Summary

No abstract available in PubMed .

Keywords:
Artificial intelligenceComputed tomography angiographyCoronary artery diseaseFractional flow reserve, MyocardialWorkflow

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