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

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Congress Presentation

About the speaker

Mr Shaheim Ogbomo-Harmitt

King's College London, London (United Kingdom of Great Britain & Northern Ireland)
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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 fill in the gaps in heart failure guidelines by providing precision medicine in medication advice?

Speaker: Mr H. Amin (Maastricht, NL)

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Access the full session

e-Cardiology/Digital health - Artificial intelligence 1

Speakers: Mr S. Ogbomo-Harmitt, Associate Professor M. Brown, Mr D. Mannhart, Doctor P. Pantelidis, Doctor A. Haue...
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About the event

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ESC Congress 2022

26 August - 29 August 2022

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