Integration of machine learning with patient-specific cardiovascular computational fluid dynamics models for predicting hemodynamic instability and identifying underlying cause

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Integration of machine learning with patient-specific cardiovascular computational fluid dynamics models for predicting hemodynamic instability and identifying underlying cause

Session: Empowered patients, healthier hearts: a new approach to cardiology

Topic: Machine Learning

Speaker: Doctor K. Sughimoto (Chiba, JP)

Event: ESC Congress 2025

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Doctor Koichi Sughimoto

Chiba University, Chiba (Japan)

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Empowered patients, healthier hearts: a new approach to cardiology

Speakers: Doctor K. Sughimoto, Doctor B. Larcher, Ms E. Van Dijkman, Professor Y. Guo, Miss M. Kuipers...

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ESC Congress 2025

29 August - 1 September 2025

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