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Presentation TCT 2023

TCT 197: Machine Learning Model for Predicting Mortality in Acute Myocardial Infarction Patients managed with or without Beta-Blocker

Presenter: Seung-Woon Rha

October 26, 2023

Presentation TCT 2023

TCT 607: Machine Learning for Predicting Major Adverse Cardiac Events in Percutaneous Coronary Intervention of Coronary Artery Chronic Total Occlusion

Presenter: Judit Karacsonyi

October 25, 2023

Presentation TCT 2023

TCT 284: Do the Novel Pulmonary Risk Factors Identified by the Machine Learning Have an Impact on Outcomes of Revascularisation in Complex Coronary Artery Disease?

Presenter: SHIGETAKA KAGEYAMA

October 25, 2023

Presentation TCT 2023

TCT 715: Laminar Flow Predicted Correctly No Progression in Severity of Moderate Stenotic Lesion: a Dynamic Angiographic and Machine Learning Analysis

Presenter: Duc Nguyen

October 24, 2023

Presentation TCT 2023

Predicting Ischemic and Bleeding Risk in Patients after PCI on DAPT: An Individualized Patient Centered Machine Learning Model

Presenter: Roxana Mehran

October 24, 2023

Presentation TCT 2023

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

Presenter: Mamas Mamas

October 23, 2023

Presentation CTO 2023

Machine Learning for Predicting Procedural Success in Percutaneous Coronary Intervention of Coronary Artery Chronic Total Occlusion

Presenter: Judit Karacsonyi

February 23, 2023

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 THT 2022

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

Presenter: Navin Kapur

February 02, 2022

Presentation Controversies and Advances 2021

Personalized and Computational Cardiology

Presenter: Harlan M. Krumholz

December 03, 2021

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

Presentation TVT 2019

Machine Learning-Based Prediction of Pacemaker Implantation After Transcatheter Aortic Valve Replacement

Presenter: Anvi Raina

June 14, 2019

Presentation TVT 2019

TAVR Safety in Cancer Including in Metastatic Disease: Propensity Score and Machine Learning Supported Multicenter Case-Control Study of Over 6 Million Hospitalizations

Presenter: Tariq Thannoun

June 14, 2019

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

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TCT 197: Machine Learning Model for Predicting Mortality in Acute Myocardial Infarction Patients managed with or without Beta-Blocker

TCT 607: Machine Learning for Predicting Major Adverse Cardiac Events in Percutaneous Coronary Intervention of Coronary Artery Chronic Total Occlusion

TCT 284: Do the Novel Pulmonary Risk Factors Identified by the Machine Learning Have an Impact on Outcomes of Revascularisation in Complex Coronary Artery Disease?

TCT 715: Laminar Flow Predicted Correctly No Progression in Severity of Moderate Stenotic Lesion: a Dynamic Angiographic and Machine Learning Analysis

Predicting Ischemic and Bleeding Risk in Patients after PCI on DAPT: An Individualized Patient Centered Machine Learning Model

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

Machine Learning for Predicting Procedural Success in Percutaneous Coronary Intervention of Coronary Artery Chronic Total Occlusion

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

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

Personalized and Computational Cardiology

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

Machine Learning-Based Prediction of Pacemaker Implantation After Transcatheter Aortic Valve Replacement

TAVR Safety in Cancer Including in Metastatic Disease: Propensity Score and Machine Learning Supported Multicenter Case-Control Study of Over 6 Million Hospitalizations

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

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