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Presentation TCT 2024

Integrating Artificial Intelligence Modeling into Heart Team Workflow

Presenter: Pradeep Yadav

October 29, 2024

Presentation TCT 2024

TCT 620: Employment of Artificial Intelligence for an Unbiased Evaluation Regarding the Recovery of Right Ventricular Function After Mitral Valve Transcatheter Edge-to-Edge Repair

Presenter: Mark Lachmann

October 28, 2024

Presentation TCT 2024

Artificial Intelligence Based System for Identifying and Notifying Hazardous Situations in the Catheterization Laboratory (CathAlert)

Presenter: Yair Feld

October 28, 2024

Presentation TCT 2024

TCT 1325: Artificial Intelligence-Enhanced Transcatheter Aortic Valve Replacement in a Challenging Bicuspid Anatomy

Presenter: Nikolaos Spilias

October 28, 2024

Presentation TCT 2024

Artificial-Intelligence Enabled Quantitative CT Assessment of Atherosclerosis and Major Adverse Events: The Multi-Center International CONFIRM2 Registry

Presenter: Alexander Van Rosendael

October 28, 2024

Presentation TCT 2024

TCT 194: Evaluating Artificial Intelligence Prediction of Occlusive Myocardial Infarction From 12 Lead ECGs After Resuscitated out of Hospital Cardiac Arrest

Presenter: Uzma Sajjad

October 27, 2024

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

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Integrating Artificial Intelligence Modeling into Heart Team Workflow

TCT 620: Employment of Artificial Intelligence for an Unbiased Evaluation Regarding the Recovery of Right Ventricular Function After Mitral Valve Transcatheter Edge-to-Edge Repair

Artificial Intelligence Based System for Identifying and Notifying Hazardous Situations in the Catheterization Laboratory (CathAlert)

TCT 1325: Artificial Intelligence-Enhanced Transcatheter Aortic Valve Replacement in a Challenging Bicuspid Anatomy

Artificial-Intelligence Enabled Quantitative CT Assessment of Atherosclerosis and Major Adverse Events: The Multi-Center International CONFIRM2 Registry

TCT 194: Evaluating Artificial Intelligence Prediction of Occlusive Myocardial Infarction From 12 Lead ECGs After Resuscitated out of Hospital Cardiac Arrest

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

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