Interaction of AI-Enabled Quantitative Coronary Plaque Volumes on Coronary CT Angiography, FFR CT , and Clinical Outcomes: A Retrospective Analysis of the ADVANCE Registry.
James DundasJonathon A LeipsicTimothy FairbairnNicholas NgVida SussmanIlana GuezRachael RosenblattLynne M Hurwitz KoweekPamela S DouglasMark G RabbatGianluca PontoneKavitha ChinnaiyanBernard de BruyneJeroen J BaxTetsuya AmanoKoen NiemanCampbell RogersHironori KitabataNiels P R SandTomohiro KawasakiSarah MullenWhitney HueyHitoshi MatsuoManesh R PatelBjarne Linde NørgaardAmir AhmadiGeorgios TzimasPublished in: Circulation. Cardiovascular imaging (2024)
URL: https://www.clinicaltrials.gov; Unique identifier: NCT02499679.
Keyphrases
- coronary artery disease
- coronary artery
- computed tomography
- artificial intelligence
- image quality
- aortic stenosis
- high resolution
- contrast enhanced
- dual energy
- magnetic resonance imaging
- heart failure
- machine learning
- magnetic resonance
- left ventricular
- transcatheter aortic valve replacement
- deep learning
- ejection fraction