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

Back

ESC Professional Premium Access

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

Session: Novel analysis technics in coronary artery disease

Topic: Noninvasive Diagnostic Methods

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

Event: ESC Congress 2022

Congress Presentation

Add to my library

About the speaker

Doctor Giuseppe d'ancona

Vivantes Klinikum Am Urban, Berlin (Germany)

0 follower

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)

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)

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

Speaker: Doctor A. Sakellarios (Heraklion, GR)

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

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

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

Speaker: Doctor J. Chan (Adelaide, AU)

Access the full session

Novel analysis technics in coronary artery disease

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

Access

About the event

ESC Congress 2022

26 August - 29 August 2022

Sessions Presentations

Congress

ESC 365 is supported by

Explore sponsored resources