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News Conference News TCT 2022

Ultrasound for Femoral Access? Neutral Results vs Common Sense: UNIVERSAL

Yael L. Maxwell

September 19, 2022

Presentation TCT 2022

TCT 101: Machine learning-based prediction of long-term mortality following percutaneous and surgical revascularisation in patients with complex coronary artery disease: analysis of the multicentre randomised controlled SYNTAXES trial with external…

Presenter: Patrick Serruys

September 18, 2022

Presentation TCT 2022

Use of Artificial Intelligence and Machine Learning to Improve Outcomes of Patients With HF

Presenter: Gabriel Sayer

September 17, 2022

Presentation TCT 2020

TCT 413: Evaluation of the DeepIVUS machine learning platform for automatic detection of stent underexpansion

Presenter: David Molony

October 14, 2020

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

News Conference News TCT 2018

Human vs Machine: Computer Algorithm Matches Experts for PCI Appropriateness and Planning

Yael L. Maxwell

October 11, 2018

Presentation TCT 2018

CEREBRIA-1: Machine Learning vs Expert Human Opinion to Determine Physiologically Optimized Coronary Revascularization Strategies

Presenter: John A. Bittl, Bernard J. Gersh, Justin E. Davies

September 24, 2018

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

Patient-Specific Computer Simulation of TAVR in Bicuspid Aortic Valve Morphology

Presenter: Mayra Guerrero, James K. Min, Cameron Dowling

September 23, 2018

Presentation TCT 2018

Interactive Virtual Reality Imaging for Structural Heart Procedural Planning

Presenter: Mayra Guerrero, James K. Min, Saurabh Sanon

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

The Future of STEMI Care: The Impact of Disruptive Technology

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

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

Presentation TCT 2018

TCT-2: DeepIVUS: A Machine Learning Framework for Fully Automatic IVUS Segmentation

Presenter: Steven R. Bailey, Patrick W. Serruys, David Molony

September 22, 2018

Presentation TCT 2018

A Machine Learning Based Platform for Enhanced Patient Care and Virtual Communication: (M)Pirik

Presenter: Daniel O'Hair

September 21, 2018

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Ultrasound for Femoral Access? Neutral Results vs Common Sense: UNIVERSAL

TCT 101: Machine learning-based prediction of long-term mortality following percutaneous and surgical revascularisation in patients with complex coronary artery disease: analysis of the multicentre randomised controlled SYNTAXES trial with external…

Use of Artificial Intelligence and Machine Learning to Improve Outcomes of Patients With HF

TCT 413: Evaluation of the DeepIVUS machine learning platform for automatic detection of stent underexpansion

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

Human vs Machine: Computer Algorithm Matches Experts for PCI Appropriateness and Planning

CEREBRIA-1: Machine Learning vs Expert Human Opinion to Determine Physiologically Optimized Coronary Revascularization Strategies

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

Patient-Specific Computer Simulation of TAVR in Bicuspid Aortic Valve Morphology

Interactive Virtual Reality Imaging for Structural Heart Procedural Planning

Artificial Intelligence and the Future of Interventional Cardiology

The Future of STEMI Care: The Impact of Disruptive Technology

Industry Perspective

Clinician Scientist/Trialist Perspective

FDA Perspectives

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

TCT-2: DeepIVUS: A Machine Learning Framework for Fully Automatic IVUS Segmentation

A Machine Learning Based Platform for Enhanced Patient Care and Virtual Communication: (M)Pirik

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