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Presentation TCT 2023

Counterpoint: AI and Machine Learning Have Significant Limitations – A Word of Caution

Presenter: Mamas Mamas

October 23, 2023

Presentation Controversies and Advances 2021

Personalized and Computational Cardiology

Presenter: Harlan M. Krumholz

December 03, 2021

Presentation TCT 2019

Machine Learning Modelling vs. STS/ACC-TVT Score to Predict Mortality After Transcatheter Aortic Valve Replacement

Presenter: Pavel Overtchouk

September 26, 2019

Presentation TCT 2019

Machine Learning for Risk Prediction of Future Clinical Events in Patients With Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention

Presenter: Jin Sup

September 26, 2019

Presentation TCT 2019

Applying Machine Learning to a Regional STEMI Dataset: Employing Neural Networks to Unravel New Patterns to Explain Etiopathology of Stroke After Aspiration Thrombectomy

Presenter: Timothy Henry

September 26, 2019

Presentation TCT 2018

From 3D Printing to Virtual Implantation: A Guide to the Future of Structural Heart Interventions

Presenter: Mayra Guerrero, James K. Min, James Otton

September 23, 2018

Presentation TCT 2018

Artificial Intelligence and the Future of Interventional Cardiology

Presenter: Mayra Guerrero, James K. Min, Partha Sardar

September 23, 2018

Presentation TCT 2018

Industry Perspective

Presenter: C. Michael Gibson, William H. Maisel, Campbell Rogers

September 22, 2018

Presentation TCT 2018

Clinician Scientist/Trialist Perspective

Presenter: C. Michael Gibson, William H. Maisel, James K. Min

September 22, 2018

Presentation TCT 2018

FDA Perspectives

Presenter: C. Michael Gibson, William H. Maisel, Mohua Choudhury

September 22, 2018

Presentation TCT 2018

Keynote Lecture: The Potential Impact of Machine Learning/Artificial Intelligence on Cardiovascular Medical Device Development

Presenter: C. Michael Gibson, William H. Maisel, Peter J. Fitzgerald

September 22, 2018

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Counterpoint: AI and Machine Learning Have Significant Limitations – A Word of Caution

Personalized and Computational Cardiology

Machine Learning Modelling vs. STS/ACC-TVT Score to Predict Mortality After Transcatheter Aortic Valve Replacement

Machine Learning for Risk Prediction of Future Clinical Events in Patients With Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention

Applying Machine Learning to a Regional STEMI Dataset: Employing Neural Networks to Unravel New Patterns to Explain Etiopathology of Stroke After Aspiration Thrombectomy

From 3D Printing to Virtual Implantation: A Guide to the Future of Structural Heart Interventions

Artificial Intelligence and the Future of Interventional Cardiology

Industry Perspective

Clinician Scientist/Trialist Perspective

FDA Perspectives

Keynote Lecture: The Potential Impact of Machine Learning/Artificial Intelligence on Cardiovascular Medical Device Development

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