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Applying machine learning to diagnose obstructive coronary artery disease using calcium scoring, coronary CT angiography, and clinical data

20 May 2024 (10:10 - 10:55)
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Congress Presentation Part of: Computed tomography (CT) artificial intelligence Coronary Computed Tomography Angiography (Coronary CTA, CCTA) Open Access International Conference on Nuclear Cardiology and Cardiac CT 2024 European Association of Cardiovascular Imaging (EACVI)

About the speaker

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Mr Jeroen Gerrit Valk

Medical Spectrum Twente, Enschede (Netherlands (The))

5 More presentations in this session

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Incremental prognostic value of artificial intelligence-based automated plaque characterisation on top of ischemia evaluation by CCTA and CCTA/PET
Doctor S. Bar (Bern, CH)
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Factors affecting the performance of a novel artificial intelligence-based coronary computed tomography-derived ischemia algorithm against PET perfusion imaging
Doctor P. Kiatkittikul (Turku, FI)
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Radiomic analysis of computed tomography myocardial texture: a new tool to identify sublclinical cardiac amyloidosis
Doctor D. Junod (Milano, IT)
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Incremental diagnostic value of a novel artificial intelligence-based ischemia algorithm to predict myocardial ischemia from CCTA
Doctor S. Bar (Bern, CH)
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Potential of artificial intelligence to differentiate between non-obstructive and obstructive coronary artery disease on coronary CT angiography
Doctor K. Nagy (Budapest, HU)
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Access the full session

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Computed tomography (CT) artificial intelligence

The Event

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International Conference on Nuclear Cardiology and Cardiac CT 2024

20 May 2024 10:10 CET
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ESC 365 is supported by

novartis Explore sponsored resources
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