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

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

Session: Novel analysis technics in coronary artery disease

Topic: Angiography, Invasive Imaging

Speaker: Doctor F. Di Muro (Florence, IT)

Event: ESC Congress 2022

Congress Presentation

About the speaker

Doctor Francesca Maria Di Muro

Careggi University Hospital (AOUC), Florence (Italy)

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Speaker: Doctor S. Mehta (Miami, US)

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

Speaker: Doctor A. Sakellarios (Ioannina, GR)

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

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

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

Speaker: Doctor J. Chan (Melbourne, AU)

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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About the event

ESC Congress 2022

26 August - 29 August 2022

Sessions Presentations

Congress

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

About the speaker

Doctor Francesca Maria Di Muro

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

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

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

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

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

Access the full session

Novel analysis technics in coronary artery disease

About the event

ESC Congress 2022

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