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Unsupervised machine learning improves risk stratification of patients with visual normal SPECT myocardial perfusion imaging assessments

26 August 2022 (08:00 - 19:30)
Organised by:
Congress Presentation Part of: New insights in nuclear cardiology Single Photon Emission Computed Tomography (SPECT) ESC Professional Premium Access ESC Congress 2022

5 More presentations in this session

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The Calcium Score's power of zero in 82-Rubidium PET depending on age group and sex
Doctor S. Frey (Basel, CH)
Abstract Slides Video
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Exploring macrophage mannose receptor expression after myocardial infarction by Al[18F]F-NOTA-DCM positron emission tomography
Miss P. Andriana (Turku, FI)
Abstract Slides Video
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Impaired cardiac sympathetic innervation activity is associated with myocardial extracellular remodeling, functional capacity and biomarkers
Assistant Professor O. Coelho-Filho (Campinas, BR)
Abstract Slides Video
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The discrepancy between FDG uptake and myocardial fibrosis in patients with pulmonary arterial hypertension - PET/MRI study.
Doctor R. Kazimierczyk (Bialystok, PL)
Abstract Slides Video
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18F-FDG-based radiomics and machine learning: a useful help for aortic prosthetic valve infective endocarditis diagnosis?
Doctor T. Eugene (Nantes, FR)
Abstract Slides Video

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New insights in nuclear cardiology

The Event

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ESC Congress 2022

26 August - 29 August 2022
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ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources