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Novel analysis technics in coronary artery disease

Event: ESC Congress 2022
Topic: Diagnostic Methods
Session type: Abstract Sessions
Date: 27 August 2022
Time: 10:15 - 11:15

Congress Session

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

Speaker: Doctor F. Di Muro (Florence, IT)
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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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6 speakers from this session

Doctor Anna Myredal

Sahlgrenska University Hospital, Gothenburg (Sweden)
1 presentation
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Doctor Sameer Mehta

Lumen Foundation, Miami (United States of America)
1 follower

Doctor Antonis Sakellarios

Foundation for Research and Technology - Hellas, Ioannina (Greece)
0 follower

Doctor Francesca Maria Di Muro

Careggi University Hospital (AOUC), Florence (Italy)
0 follower

Doctor Giuseppe d'ancona

Vivantes Klinikum Am Urban, Berlin (Germany)
0 follower

Doctor Jasmine Chan

Monash Heart, Melbourne (Australia)
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