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EuroSMR Score Outperforms Other Tools for M-TEER Risk Profiling

Shelley Wood

November 28, 2023

News Conference News AHA 2023

AI Improves Detection of Cardiomyopathy in Pregnancy

L.A. McKeown

November 15, 2023

News Opinion Editor's Corner AHA 2023

What’s Going to Be Hot at AHA 2023

Shelley Wood

November 07, 2023

News Conference News TCT 2023

Post-TAVI Conduction Abnormalities: EP Study, Registry Data Provide Snapshots

Caitlin E. Cox

November 03, 2023

Presentation TCT 2023

TCT 496: Artificial Intelligence-Enabled Phenotyping of Patients with Severe Mitral Regurgitation: on the Recovery of Extra-Mitral Valve Cardiac Damage after Transcatheter Edge-to-Edge Repair

Presenter: Elena Rippen

October 26, 2023

Presentation TCT 2023

TCT 449: Artificial Intelligence to Predict Optimal Procedural Outcome after Mitral Transcatheter Edge-to-Edge Repair.

Presenter: Mathias Claeys

October 26, 2023

Presentation TCT 2023

TCT 268: Index of Suspicion: Predictors of Tricuspid Regurgitation progression and Follow-up Echo imaging- An Artificial-intelligence enhanced study

Presenter: Omar Khalique

October 26, 2023

Presentation TCT 2023

TCT 163: Artificial Intelligence-Enabled Assessment of Right Ventricular to Pulmonary Artery Coupling Refines Mortality Prediction in Patients with Severe Tricuspid Regurgitation Undergoing Transcatheter Tricuspid Valve Intervention

Presenter: Mark Lachmann

October 26, 2023

Presentation TCT 2023

TCT 775: A Machine Learning Based Model Predicts Death in Patients with Severe Asymptomatic Aortic Stenosis

Presenter: APURVA BHARUCHA

October 26, 2023

Presentation TCT 2023

TCT 753: Development of a Machine Learning Based Futility Risk Model to Predict One Year Mortality in Transcatheter Aortic Valve Replacement

Presenter: APURVA BHARUCHA

October 26, 2023

Presentation TCT 2023

TCT 636: Evaluating The Performance of XGBoost Artificial Intelligence Modelling for Predicting Early Hospital Discharge Following Transcatheter Aortic Valve Replacement

Presenter: Chapman Wei

October 26, 2023

Presentation TCT 2023

TCT 618: Computational Predictive Modeling for Bicuspid Transcatheter Aortic Valve Replacements

Presenter: Taylor SBecker

October 26, 2023

Presentation TCT 2023

TCT 387: TAVI-PREP: A deep learning-based tool for automated measurements extraction in TAVI planning

Presenter: Marcel Santaló

October 26, 2023

Presentation TCT 2023

TCT 43: Optimizing Transcatheter Aortic Valve Replacement Outcomes by Identifying Supra-annular Morphology

Presenter: Yuxuan Zhang

October 26, 2023

News Opinion Editor's Corner

What’s Going to Be Hot at TCT 2023

Shelley Wood

October 19, 2023

News Opinion CV Team Dispatch

September 2023 News Roundup

L.A. McKeown

September 01, 2023

News Opinion Editor's Corner ESC 2023

What’s Going to Be Hot at ESC 2023?

Shelley Wood

August 15, 2023

News Opinion CV Team Dispatch

August 2023 News Roundup

L.A. McKeown

August 01, 2023

News Daily News

TCTMD’s Top 10 Most Popular Stories for April 2023

Shelley Wood

April 28, 2023

News Opinion CV Team Dispatch

April 2023 News Roundup

L.A. McKeown

April 01, 2023

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EuroSMR Score Outperforms Other Tools for M-TEER Risk Profiling

AI Improves Detection of Cardiomyopathy in Pregnancy

What’s Going to Be Hot at AHA 2023

Post-TAVI Conduction Abnormalities: EP Study, Registry Data Provide Snapshots

TCT 496: Artificial Intelligence-Enabled Phenotyping of Patients with Severe Mitral Regurgitation: on the Recovery of Extra-Mitral Valve Cardiac Damage after Transcatheter Edge-to-Edge Repair

TCT 449: Artificial Intelligence to Predict Optimal Procedural Outcome after Mitral Transcatheter Edge-to-Edge Repair.

TCT 268: Index of Suspicion: Predictors of Tricuspid Regurgitation progression and Follow-up Echo imaging- An Artificial-intelligence enhanced study

TCT 163: Artificial Intelligence-Enabled Assessment of Right Ventricular to Pulmonary Artery Coupling Refines Mortality Prediction in Patients with Severe Tricuspid Regurgitation Undergoing Transcatheter Tricuspid Valve Intervention

TCT 775: A Machine Learning Based Model Predicts Death in Patients with Severe Asymptomatic Aortic Stenosis

TCT 753: Development of a Machine Learning Based Futility Risk Model to Predict One Year Mortality in Transcatheter Aortic Valve Replacement

TCT 636: Evaluating The Performance of XGBoost Artificial Intelligence Modelling for Predicting Early Hospital Discharge Following Transcatheter Aortic Valve Replacement

TCT 618: Computational Predictive Modeling for Bicuspid Transcatheter Aortic Valve Replacements

TCT 387: TAVI-PREP: A deep learning-based tool for automated measurements extraction in TAVI planning

TCT 43: Optimizing Transcatheter Aortic Valve Replacement Outcomes by Identifying Supra-annular Morphology

What’s Going to Be Hot at TCT 2023

September 2023 News Roundup

What’s Going to Be Hot at ESC 2023?

August 2023 News Roundup

TCTMD’s Top 10 Most Popular Stories for April 2023

April 2023 News Roundup

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