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Prediction of new onset atrial fibrillation recurrence or persistence with artificial intelligence: first insights of the PRAFAI study.

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Congress Session

About the speaker

Mr Alain Garcia Olea

Basurto University Hospital, Bilbao (Spain)
1 presentation
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6 more presentations in this session

Right heart catherisation- a virtual reality

Speaker: Associate Professor M. Brown (Sydney, AU)

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Clinical validation of an artificial intelligence algorithm offering cross-platform detection of atrial fibrillation using smart device electrocardiograms

Speaker: Mr D. Mannhart (Basel, CH)

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Inside the "brain" of an artificial neural network: an interpretable deep learning approach to paroxysmal atrial fibrillation diagnosis from electrocardiogram signals during sinus rhythm

Speaker: Doctor P. Pantelidis (Athens, GR)

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PMHnet-alpha: development and validation of a neural network based discrete-time survival model for mortality prediction in ischemic heart disease

Speaker: Doctor A. Haue (Copenhagen, DK)

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Can artificial intelligence prediction of successful atrial fibrillation catheter ablation therapy be interpretable?

Speaker: Mr S. Ogbomo-Harmitt (London, GB)

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Access the full session

e-Cardiology/Digital health - Artificial intelligence 1

Speakers: Mr A. Garcia Olea, Associate Professor M. Brown, Mr D. Mannhart, Doctor P. Pantelidis, Doctor A. Haue...
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ESC Congress 2022

26 August - 29 August 2022

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