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Optical Coherence Tomography and Artificial Intelligence for calcium quantification in coronary disease of diabetic patients.

Congress Session

About the speaker

Doctor Francesca Maria Di Muro

Careggi University Hospital (AOUC), Florence (Italy)
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5 more presentations in this session

Predicting risk of future acute coronary syndromes, 1-year survival and the need for coronary angiography in unstable angina: A Nationwide Machine Learning Study

Speaker: Doctor A. Myredal (Gothenburg, SE)

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Artificial intelligence-guided, single-lead EKG may be a game-changer for symptom-to-balloon time reduction in ST-elevated myocardial infarction

Speaker: Doctor S. Mehta (Miami, US)

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Prediction of all-cause mortality in cardiovascular patients by using machine learning models

Speaker: Doctor A. Sakellarios (Ioannina, GR)

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Deep learning to detect significant coronary artery disease from plain chest radiographs

Speaker: Doctor G. d'ancona (Berlin, DE)

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Development and validation of non-invasive endothelial shear stress (ESS) estimations of coronary artery haemodynamics using computational modelling.

Speaker: Doctor J. Chan (Melbourne, AU)

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Access the full session

Novel analysis technics in coronary artery disease

Speakers: Doctor F. Di Muro, Doctor A. Myredal, Doctor S. Mehta, Doctor A. Sakellarios, Doctor G. d'ancona...
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ESC Congress 2022

26 August - 29 August 2022

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