ESC 365 - Can machine learning improve risk prediction and individualise decision making between percutaneous and surgical revascularisation?

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

Session: Prognosis after revascularisation in stable coronary artery disease

Topic: Revascularisation

Speaker: Doctor K. Ninomiya (Galway, IE)

Event: ESC Congress 2023

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About the speaker

Doctor Kai Ninomiya

National University of Ireland, Galway (Ireland)

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5 more presentations in this session

In-hospital and 1-year mortality associated with percutaneous coronary intervention use in patients with acute myocardial infarction older than 90 years

Speaker: Doctor F. Trombara (Milan, IT)

Interim prediction of two-year all-cause mortality in patients with de novo multivessel coronary artery disease undergoing intended multivessel PCI

Speaker: Doctor M. Renkens (Amsterdam, NL)

Association of liver dysfunction with outcomes after percutaneous coronary intervention - a systematic review and meta-analysis

Speaker: Doctor H. Kirov (Jena, DE)

Predictors of periprocedural myocardial infarction after left main bifurcation percutaneous coronary intervention guided by optical coherence tomography imaging: the PREVENT study

Speaker: Doctor A. Ricchiuto (Rome, IT)

Prognostic impact of percutaneous coronary intervention in chronic dialysis patients with acute myocardial infarction

Speaker: Doctor F. Trombara (Milan, IT)

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Prognosis after revascularisation in stable coronary artery disease

Speakers: Doctor K. Ninomiya, Doctor F. Trombara, Doctor M. Renkens, Doctor H. Kirov, Doctor A. Ricchiuto...

About the event

ESC Congress 2023

25 August - 28 August 2023

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