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

Topic: Hospital Information Systems, Electronic Medical Records, Clinical Decision Support

Congress Presentation

About the speaker

Mr Pavlos Kafouris

Athens (Greece)
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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 (La Jolla, 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 coronary artery disease in positron emission tomography using machine learning algorithms with clinical data and calcium score

Speaker: Doctor O. Clerc (Boston, US)

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Live Abstract Presentations - Artificial intelligence

Speakers: Mr P. Kafouris, 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