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Prediction of difficulty in cryoballoon ablation with a 3D deep learning model using polygonal mesh representation

28 August 2022 (16:15 - 17:00)
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Congress Presentation Part of: Predictors for atrial fibrillation recurrence Rhythm Control, Catheter Ablation ESC Professional Premium Access ESC Congress 2022

About the speaker

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Doctor Kazutaka Nakasone

Osaka Saiseikai Nakatsu Hospital, Osaka (Japan)

7 More presentations in this session

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Prediction of recurrence after catheter ablation for atrial fibrillation using left atrial morphology on preprocedural computed tomography: application of radiomics
Doctor N. Hirota (Tokyo, JP)
Abstract Slides
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Predictors of long-term atrial fibrillation recurrence after catheter ablation: non-linear analytical approach for individualized prognostic stratification.
Doctor R. Herman (Aalst, BE)
Abstract Slides
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Predictors of AF recurrence in patients with paroxysmal AF undergoing catheter ablation: new predictors coming?
Doctor M. Ribeiro Silva (Vila Nova de Gaia, PT)
Abstract Slides
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Sex differences in terms of recurrent atrial fibrillation after catheter ablation according to the history of heart failure: insights from the Kansai Plus Atrial Fibrillation (KPAF) registry
Doctor N. Tanaka (Osaka, JP)
Abstract Slides
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Left atrial function parameters as predictors of atrial fibrillation recurrence after pulmonary vein isolation
Doctor M. Kiliszek (Warsaw, PL)
Abstract Slides

Access the full session

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Predictors for atrial fibrillation recurrence

The Event

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ESC Congress 2022

28 August 2022 16:15 CET

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources