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Presentation THT 2026

Cutaneous device and machine learning could estimate pulmonary capillary wedge pressure in patients with heart failure

Presenter: Remi Sabatier

March 04, 2026

Presentation THT 2026

UltraSight PVAD IQ Machine Learning Algorithm Accurately Identifies Impella Micro-axial Flow Pump Depth Across the Aortic Valve on Ultrasound Imaging: An Early Clinical Feasibility Study

Presenter: Luca Baldetti

March 03, 2026

Presentation THT 2026

Beyond Clinical Calculations — Machine Learning of Hemodynamic Waveforms

Presenter: Steven Hsu

March 03, 2026

Prospective Validation of Machine Learning in Risk Stratification of Patients Treated for Cardiogenic Shock

Presentation THT 2025

Prospective Validation of Machine Learning in Risk Stratification of Patients Treated for Cardiogenic Shock

Presenter: Shuojohn Li

February 11, 2025

Multicenter Development and Validation of a Supervised Machine Learning Risk Model to Predict Right Ventricular Failure Following Mechanical Circulatory Support: The STOP-RVF Score

Presentation THT 2024

Multicenter Development and Validation of a Supervised Machine Learning Risk Model to Predict Right Ventricular Failure Following Mechanical Circulatory Support: The STOP-RVF Score

Presenter: Stavros G. Drakos

March 06, 2024

Phenotyping Cardiogenic Shock: Insights From Machine Learning Applied to a Large Real-World Registry

Presentation THT 2022

Phenotyping Cardiogenic Shock: Insights From Machine Learning Applied to a Large Real-World Registry

Presenter: Navin Kapur

February 02, 2022

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