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Machine learning for predicting the prognosis in patients with acute myocardial infarction complicated by cardiogenic shock

29 August 2025 (07:00 - 18:00)
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Congress Presentation Part of: The kidney and other comorbidities in cardiogenic shock Cardiogenic Shock ESC Professional Premium Access ESC Congress 2025 European Society of Cardiology

About the speaker

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Doctor Bi Huang

The First Affiliated Hospital of Chongqing Medical University, Chongqing (China)

7 More presentations in this session

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The heart-kidney connection: acute kidney injury in cardiogenic shock
Doctor R. Barbosa Sousa (Lisbon, PT)
Abstract Slides Video
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Impact of early enteral nutrition on delirium prevention in patients with malnutrition concurrent with acute myocardial infarction
Doctor H. Abe (Urayasu, JP)
Abstract Slides Video
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Impact of DanGer Shock eligibility criteria on survival in patients with acute myocardial infarction-related cardiogenic shock: it is all about Impella?
Doctor D. Sa (Funchal, PT)
Abstract Slides Video
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Interaction between renal and right ventricular function and their early prognostic relevance in patients with cardiogenic shock complicating AMI
Doctor S. Dalanbaatar (Ulaanbaatar, MN)
Abstract Slides Video
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Association between body mass index and short-term mortality in cardiogenic shock patients supported by Impella: a multicenter retrospective study
Doctor R. Nakano (Kumamoto, JP)
Abstract Slides Video

Access the full session

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The kidney and other comorbidities in cardiogenic shock

The Event

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ESC Congress 2025

29 August - 1 September 2025
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ESC 365 is supported by

novartis Explore sponsored resources