Evaluation of a Novel Prototype Software for Deep Learning-Based Noninvasive Fractional Flow Reserve Derived From Coronary CT Angiography: Comparison with Invasive Angiography

Authors

Grayson Gigliotti, Florida International UniversityFollow
Mona Roshan, Florida International UniversityFollow
Jeffrey Gonzalez, Florida International UniversityFollow
Ricardo Cury, Miami Cardiac and Vascular InstituteFollow
Chrisnel Lamy, Florida International UniversityFollow

Files

Publication Date

4-23-2025

Content Type

Poster

Recommended Citation

Gigliotti, Grayson; Roshan, Mona; Gonzalez, Jeffrey; Cury, Ricardo; and Lamy, Chrisnel, "Evaluation of a Novel Prototype Software for Deep Learning-Based Noninvasive Fractional Flow Reserve Derived From Coronary CT Angiography: Comparison with Invasive Angiography" (2025). Baptist Health Academic Conference: Leading Tomorrow's Healthcare Through Innovation. 7.
https://scholarlycommons.baptisthealth.net/bhsf-academic-week-2025/7