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Improved detection of coronary ischemia in patients with diabetes mellitus using a novel artificial intelligence-based ischemia algorithm derived from coronary ct angiography (AI-QCTISCHEMIA)

11 December 2025 (10:30 - 11:15)
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Congress Presentation Part of: Advancing coronary risk assessment with cardiac CT: from plaque to perfusion Coronary Computed Tomography Angiography (Coronary CTA, CCTA) EACVI Premium Access EACVI 2025 European Association of Cardiovascular Imaging (EACVI)

About the speaker

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Doctor Putri Annisa Kamila

Faculty of Medicine, Universitas Brawijaya, Malang (Indonesia)

5 More presentations in this session

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New atherosclerotic plaque formation by coronary CTA in suspected coronary artery disease patients: Results from the PARADIGM Registry
Doctor S. Tantawy (Cairo, EG)
Abstract Slides
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SCORE2-diabetes for predicting coronary artery disease: a cardiac CT study in a diabetic moderate-risk population
Doctor R. Mollace (Bergamo, IT)
Abstract Slides
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Integrating coronary atherosclerotic plaque burden for enhanced grading of AI-guided CCTA-derived ischemia
Doctor T. Maaniitty (Turku, FI)
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Factors associated with aortic valve calcification in diabetes - a STENO INTEN-CT substudy
Doctor A. Haujir (Odense, DK)
Abstract Slides
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Dynamic CT perfusion to identify hemodynamically significant coronary artery disease: preliminary results of an one-stop-shop approach
Doctor D. Da Silva Correia (Lisbon, PT)
Abstract Slides

Access the full session

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Advancing coronary risk assessment with cardiac CT: from plaque to perfusion

The Event

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EACVI 2025

11 December 2025 10:30 CET

ESC 365 is supported by

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ESC 365 is supported by

novartis Explore sponsored resources
novo-nordisk Explore sponsored resources