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Prediction of coronary artery disease in positron emission tomography using machine learning algorithms with clinical data and calcium score

Congress Presentation

About the speaker

Doctor Olivier Clerc

Brigham and Women's Hospital, Boston (United States of America)
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9 more presentations in this session

Validation of an artificial intelligence-based tool for automated evaluation of RV size and function from ultrasound examinations

Speaker: Professor A. DeMaria (San Diego, US)

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Myocardial deformation imaging in early prediction of heart failure development after STEMI is better than conventional echocardiography: true or false?

Speaker: Assistant Professor D. Trifunovic Zamaklar (Belgrade, RS)

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Automated echocardiographic left ventricular strain measurements using deep learning

Speaker: Mr M. Rogstadkjernet (Oslo, NO)

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Echocardiographic phenotyping of the continuum of myocardial functional remodelling in left ventricular hypertrophy - machine learning validated with cardiac magnetic resonance

Speaker: Doctor F. Loncaric (Zagreb, HR)

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Prediction of impaired myocardial blood flow (MBF) with the use of machine learning techniques on CTCA based parameters

Speaker: Mr P. Kafouris (Athens, GR)

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Live Abstract Presentations - Artificial intelligence

Speakers: Doctor O. Clerc, Professor A. DeMaria, Assistant Professor D. Trifunovic Zamaklar, Mr M. Rogstadkjernet, Doctor F. Loncaric...
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About the event

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EACVI - Best of Imaging 2020

11 December - 12 December 2020

Sessions Presentations

ESC 365 is supported by

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