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Presentation TCT 2024

TCT 197: Artificial Intelligence Assessment of a Digital 12 Lead ECG Predicts Clinically Significant CAD With a Diagnostic Accuracy Approaching 90%: The ROPES Study

Presenter: Michael Leasure

October 27, 2024

Presentation TCT 2024

TCT 193: Validation of Artificial Intelligence-based Quantitative Coronary Angiography: A Pilot Retrospective Studies

Presenter: Do-Hyun Kim

October 27, 2024

Presentation TCT 2024

TCT 189: Enhancing Quantitative Coronary Angiography With Advanced Artificial Intelligence

Presenter: Jung-Min Ahn

October 27, 2024

Presentation TCT 2024

TCT 216: Novel Artificial Intelligence Method Reveals Impact Mechanisms From Anatomy via Prosthesis Deformation to Hemodynamics in TAVR Patients

Presenter: Moyang Wang

October 27, 2024

Presentation TCT 2024

TCT 200: Artificial Intelligence Detection of Retrograde Coronary Flow

Presenter: Hong Hieu Truong

October 27, 2024

Presentation TCT 2024

TCT 204: Development and Validation of Artificial Intelligence-Based Algorithms for Predicting the Segments Debulked by Rotational Atherectomy Using Intravascular Ultrasound Images

Presenter: Kenta Hashimoto

October 27, 2024

Presentation TCT 2024

TCT 203: Artificial Intelligence-led Intracoronary OCT Analysis to Identify Drug Efficacy and Predict Patient Events

Presenter: NULL

October 27, 2024

Presentation TCT 2024

TCT 202: Diagnostic Performance of Artificial Intelligence-Derived Fractional Flow Reserve in Routine Clinical Practice: An International Multicenter Retrospective Study

Presenter: Eyal Ben-Assa

October 27, 2024

Presentation TCT 2024

TCT 199: Left Ventricular Systolic Dysfunction Detection by Artificial Intelligence Enhanced 6-Lead Portable Electrocardiogram Device: A Prospective Single-Center Cohort Study

Presenter: Hak Seung Lee

October 27, 2024

News Opinion Editor's Corner TCT 2024

What’s Going to Be Big at TCT 2024?

Michael O'Riordan

October 17, 2024

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

Artificial Intelligence for Imaging and Physiology Interpretation

Presenter: Akiko Maehara

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

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TCT 197: Artificial Intelligence Assessment of a Digital 12 Lead ECG Predicts Clinically Significant CAD With a Diagnostic Accuracy Approaching 90%: The ROPES Study

TCT 193: Validation of Artificial Intelligence-based Quantitative Coronary Angiography: A Pilot Retrospective Studies

TCT 189: Enhancing Quantitative Coronary Angiography With Advanced Artificial Intelligence

TCT 216: Novel Artificial Intelligence Method Reveals Impact Mechanisms From Anatomy via Prosthesis Deformation to Hemodynamics in TAVR Patients

TCT 200: Artificial Intelligence Detection of Retrograde Coronary Flow

TCT 204: Development and Validation of Artificial Intelligence-Based Algorithms for Predicting the Segments Debulked by Rotational Atherectomy Using Intravascular Ultrasound Images

TCT 203: Artificial Intelligence-led Intracoronary OCT Analysis to Identify Drug Efficacy and Predict Patient Events

TCT 202: Diagnostic Performance of Artificial Intelligence-Derived Fractional Flow Reserve in Routine Clinical Practice: An International Multicenter Retrospective Study

TCT 199: Left Ventricular Systolic Dysfunction Detection by Artificial Intelligence Enhanced 6-Lead Portable Electrocardiogram Device: A Prospective Single-Center Cohort Study

What’s Going to Be Big at TCT 2024?

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

Artificial Intelligence for Imaging and Physiology Interpretation

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

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