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

26 August 2022 (08:00 - 19:30)
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Congress Presentation Part of: e-Cardiology/Digital health - Artificial intelligence 1 Artificial Intelligence ESC Professional Premium Access ESC Congress 2022

About the speaker

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Mr Shaheim Ogbomo-Harmitt

London (United Kingdom of Great Britain & Northern Ireland)

6 More presentations in this session

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Right heart catherisation- a virtual reality
Associate Professor M. Brown (Sydney, AU)
Abstract Slides
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Clinical validation of an artificial intelligence algorithm offering cross-platform detection of atrial fibrillation using smart device electrocardiograms
Mr D. Mannhart (Basel, CH)
Abstract Slides
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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
Doctor P. Pantelidis (Athens, GR)
Abstract Slides
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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
Doctor A. Haue (Copenhagen, DK)
Abstract Slides
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Can artificial intelligence fill in the gaps in heart failure guidelines by providing precision medicine in medication advice?
Mr H. Amin (Enschede, NL)
Abstract Slides

Access the full session

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e-Cardiology/Digital health - Artificial intelligence 1

The Event

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ESC Congress 2022

26 August - 29 August 2022
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ESC 365 is supported by

novartis Explore sponsored resources