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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

Presentation TCT 2018

Big Data Analytics: Applying Machine Learning to STEMI outcomes

Presenter: Keshav R Nayak

September 21, 2018

News Opinion Fellow Talk

What Not to Miss at TCT 2018 for Interventional Cardiology Fellows

Sahil Khera, MD, MPH

September 21, 2018

News Daily News

TAVR Superior to Surgery at Getting High-Risk Patients Home Sooner

Michael O'Riordan

September 20, 2018

News Opinion Fellow Talk

Introducing the 2018-2019 Fellow Talk Bloggers

Yael L. Maxwell

July 11, 2018

Presentation The Structural Heart Disease Summit 2018

The Underdiagnosis of Aortic Stenosis: A Novel Approach Using Machine Learning to Improve Acquisition and Interpretation of Echocardiograms

Presenter: Randolph P. Martin, Mark J. Russo

June 21, 2018

News Conference News EuroPCR 2018

Big Data, Big Questions: Physicians and Innovators Consider AI’s Role in Clinical Care

Michael O'Riordan

May 21, 2018

Presentation TCT 2017

Technical Opportunities Part 1: Advances in SHD Imaging (Workflow Advances, Automated Quantification, and Machine Learning)

Presenter: G. Burkhard Mackensen, Robert J. Siegel, Randolph P. Martin

November 01, 2017

Presentation TCT 2017

Futuristic and Novel #2: Using Artificial Intelligence (Machine Learning) to Direct Acquisition and Interpretation of Echocardiograms Improving Access and Quality of Valve Disease Diagnosis

Presenter: Robert O. Bonow, Michael J. Mack, Randolph P. Martin

October 30, 2017

Presentation TCT 2017

Noninvasive Detection of Coronary Artery Disease Using Resting Phase Signals and Advanced Machine Learning

Presenter: Bernard De Bruyne, Evelyn S. Regar, Thomas D. Stuckey

October 30, 2017

News Daily News

Improving Echo Appropriateness: Audit and Feedback Intervention Works

Todd Neale

August 23, 2017

News Conference News SCCT 2017

Nonobstructive Coronary Disease on Cardiac CT: Call to Action, or Wait and See?

Yael L. Maxwell

July 10, 2017

News Industry News

Arterys Partners With GE Healthcare To Launch Transformative Cardiac Medical Imaging Platform

December 06, 2015

News Opinion Fellow Talk

A Roadmap to Skills Mastery in the Cath Lab

Waleed Alharbi, MD

August 30, 2015

News Daily News

SCAI Survey: Medical Simulation Use Growing in Interventional Cardiology Programs

Yael L. Maxwell

October 25, 2013

News Daily News

Cognitive Decline Does Not Last Long After CABG

Jason Kahn

May 13, 2013

News Conference News

Recovery in Japan Ongoing, But Help Still Needed

November 09, 2011

News Daily News

IVUS Guidance of DES Implantation Improves Outcomes

September 28, 2011

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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

Big Data Analytics: Applying Machine Learning to STEMI outcomes

What Not to Miss at TCT 2018 for Interventional Cardiology Fellows

TAVR Superior to Surgery at Getting High-Risk Patients Home Sooner

Introducing the 2018-2019 Fellow Talk Bloggers

The Underdiagnosis of Aortic Stenosis: A Novel Approach Using Machine Learning to Improve Acquisition and Interpretation of Echocardiograms

Big Data, Big Questions: Physicians and Innovators Consider AI’s Role in Clinical Care

Technical Opportunities Part 1: Advances in SHD Imaging (Workflow Advances, Automated Quantification, and Machine Learning)

Futuristic and Novel #2: Using Artificial Intelligence (Machine Learning) to Direct Acquisition and Interpretation of Echocardiograms Improving Access and Quality of Valve Disease Diagnosis

Noninvasive Detection of Coronary Artery Disease Using Resting Phase Signals and Advanced Machine Learning

Improving Echo Appropriateness: Audit and Feedback Intervention Works

Nonobstructive Coronary Disease on Cardiac CT: Call to Action, or Wait and See?

Arterys Partners With GE Healthcare To Launch Transformative Cardiac Medical Imaging Platform

A Roadmap to Skills Mastery in the Cath Lab

SCAI Survey: Medical Simulation Use Growing in Interventional Cardiology Programs

Cognitive Decline Does Not Last Long After CABG

Recovery in Japan Ongoing, But Help Still Needed

IVUS Guidance of DES Implantation Improves Outcomes

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