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Presentation TCT 2024

TCT 264: Improving Risk Stratification of SCAI Stages of Cardiogenic Shock With Machine Learning-Based Phenotyping

Presenter: Elric Zweck

October 29, 2024

Presentation TCT 2024

TCT 192: Beta-Blocker Efficacy in Acute Myocardial Infarction: A Machine Learning Approach Using the KAMIR-NIH Dataset

Presenter: Woo Jin Ahn

October 27, 2024

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 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

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 2020

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

Presenter: David Molony

October 14, 2020

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

The Future of STEMI Care: The Impact of Disruptive Technology

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

September 23, 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

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

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TCT 264: Improving Risk Stratification of SCAI Stages of Cardiogenic Shock With Machine Learning-Based Phenotyping

TCT 192: Beta-Blocker Efficacy in Acute Myocardial Infarction: A Machine Learning Approach Using the KAMIR-NIH Dataset

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

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

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…

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

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

The Future of STEMI Care: The Impact of Disruptive Technology

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

Big Data Analytics: Applying Machine Learning to STEMI outcomes

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

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