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Can machine learning improve risk prediction and individualise decision making between percutaneous and surgical revascularisation?

28 August 2023 (13:15 - 13:50)
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Congress Presentation Part of: Prognosis after revascularisation in stable coronary artery disease Revascularisation ESC Professional Premium Access ESC Congress 2023 European Society of Cardiology

About the speaker

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Doctor Kai Ninomiya

Iwate Medical University, Morioka (Japan)

5 More presentations in this session

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In-hospital and 1-year mortality associated with percutaneous coronary intervention use in patients with acute myocardial infarction older than 90 years
Doctor F. Trombara (Milan, IT)
Abstract Slides
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Interim prediction of two-year all-cause mortality in patients with de novo multivessel coronary artery disease undergoing intended multivessel PCI
Doctor M. Renkens (Amsterdam, NL)
Abstract Slides Video
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Association of liver dysfunction with outcomes after percutaneous coronary intervention - a systematic review and meta-analysis
Doctor H. Kirov (Jena, DE)
Abstract Slides Video
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Predictors of periprocedural myocardial infarction after left main bifurcation percutaneous coronary intervention guided by optical coherence tomography imaging: the PREVENT study
Doctor A. Ricchiuto (Rome, IT)
Abstract Slides Video
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Prognostic impact of percutaneous coronary intervention in chronic dialysis patients with acute myocardial infarction
Doctor F. Trombara (Milan, IT)
Abstract Slides Video

Access the full session

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Prognosis after revascularisation in stable coronary artery disease

The Event

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ESC Congress 2023

28 August 2023 13:15 CET
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ESC 365 is supported by

novartis Explore sponsored resources