ESC 365 - Explainable deep learning outperforms guideline criteria and QRSarea for prediction of outcome after cardiac resynchronization therapy

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Explainable deep learning outperforms guideline criteria and QRSarea for prediction of outcome after cardiac resynchronization therapy

Session: CRT news

Topic: Cardiac Resynchronisation Therapy (CRT)

Speaker: Mr P. Wouters (Utrecht, NL)

Event: EHRA 2022

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About the speaker

Mr Philippe Wouters

University Medical Center Utrecht, Utrecht (Netherlands (The))

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4 more presentations in this session

Impact of the ESC 2021 guidelines on cardiac pacing and cardiac resynchronization therapy left bundle branch block definition on CRT patient selection and survival

Speaker: Mr J. Rijks (Maastricht, NL)

Direct comparison of delivery systems and electrodes with and without stylets for stimulation of the left bundle branch area in patients with indications for cardioresynchronization therapy

Speaker: Professor I. Karpenko (Odessa, UA)

Apical versus septal pacing - can we chose the localization of ventricular lead in order to prevent upgrade to cardiac resynchronization therapy?

Speaker: Doctor P. Silverio Antonio (Lisbon, PT)

Cardiac resynchronization therapy in patients with a history of atrial fibrillation: insights from five major clinical trials

Speaker: Doctor F. Dalgaard (Gentofte, DK)

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CRT news

Speakers: Mr P. Wouters, Mr J. Rijks, Professor I. Karpenko, Doctor P. Silverio Antonio, Doctor F. Dalgaard

About the event

EHRA 2022

3 April - 5 April 2022

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