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Presentation TCT 2019

How Could Advances in Digital Health Help in the Prevention of CV Diseases?: E-Prevention

Presenter: Mohammad El Tahlawi

September 28, 2019

News Conference News TCT 2019

Surgical Volume Matters When It Comes to Repair of Primary MR

Todd Neale

September 28, 2019

Presentation TCT 2019

Technological and Technical Advances in Management of Chronic Type B Aortic Dissection

Presenter: Sukgu Han

September 27, 2019

Presentation TCT 2019

Advances in Transseptal Transcatheter Mitral Valve Replacement

Presenter: Howard Herrmann

September 27, 2019

News Opinion Off Script TCT 2019

Off Script: Want a Glimpse of Healthcare 3.0? Look Beyond Physician Burnout

Kwan S. Lee

September 27, 2019

Presentation TCT 2019

Progress on Automation and Remote

Presenter: Tejas Patel

September 27, 2019

Presentation TCT 2019

Preparing for a Remote PCI Program Today

Presenter: Jean Fajadet

September 27, 2019

Presentation TCT 2019

Complex Aortoiliac Occlusive Disease: Achieving Differentiated Performance Through Advanced Technology

Presenter: Ehrin Armstrong

September 27, 2019

Presentation TCT 2019

Robotics in Clinical Practice

Presenter: William Lombardi

September 27, 2019

Presentation TCT 2019

Clinical Review

Presenter: Ehtisham Mahmud

September 27, 2019

Presentation TCT 2019

Welcome and Overview

Presenter: J. Aaron Grantham

September 27, 2019

Presentation TCT 2019

Insights into the PRECISE Randomized Clinical Trial

Presenter: Sreekanth Vemulapalli

September 26, 2019

Presentation TCT 2019

The HeartFlow Planner: Potential Impact on Coronary Intervention

Presenter: Robert Safian

September 26, 2019

Presentation TCT 2019

A Perspective From the UK: The Current Landscape and Future Direction

Presenter: Nick Curzen

September 26, 2019

Presentation TCT 2019

Overview of the HeartFlow Analysis

Presenter: Carlos Mena-Hurtado

September 26, 2019

Presentation TCT 2019

Welcome and Introduction

Presenter: Gregg Stone

September 26, 2019

Presentation TCT 2019

Advance Warning of Acute Coronary Syndrome Events (AngelMed): “Getting to the Church on Time”

Presenter: David Holmes Jr

September 26, 2019

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

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How Could Advances in Digital Health Help in the Prevention of CV Diseases?: E-Prevention

Surgical Volume Matters When It Comes to Repair of Primary MR

Technological and Technical Advances in Management of Chronic Type B Aortic Dissection

Advances in Transseptal Transcatheter Mitral Valve Replacement

Off Script: Want a Glimpse of Healthcare 3.0? Look Beyond Physician Burnout

Progress on Automation and Remote

Preparing for a Remote PCI Program Today

Complex Aortoiliac Occlusive Disease: Achieving Differentiated Performance Through Advanced Technology

Robotics in Clinical Practice

Clinical Review

Welcome and Overview

Insights into the PRECISE Randomized Clinical Trial

The HeartFlow Planner: Potential Impact on Coronary Intervention

A Perspective From the UK: The Current Landscape and Future Direction

Overview of the HeartFlow Analysis

Welcome and Introduction

Advance Warning of Acute Coronary Syndrome Events (AngelMed): “Getting to the Church on Time”

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

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