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Presentation TCT 2024

Investigating Artificial Intelligence as Applied to a Digital 12 Lead ECG to Determine Coronary Artery Stenosis Severity: The ECGio ROPES Study

Presenter: Michael Leasure

October 30, 2024

Presentation TCT 2024

Artificial Intelligence-Enhanced Dual-Modal Fluorescence Lifetime Imaging-Optical Coherence Tomography in Patients with Coronary Artery Disease

Presenter: Jin Won Kim

October 29, 2024

Presentation TCT 2024

Advanced planning for Life Time Management with Self Expanding TAVR platform

Presenter: Guilherme Attizzani

October 29, 2024

Presentation TCT 2024

Welcome: Improving Decision Making with Computational Predictive Modeling and Artificial Intelligence

Presenter: Lakshmi Dasi

October 29, 2024

Presentation TCT 2024

Real World Complex Decision Making With DASI Simulations

Presenter: Matthew Summers

October 29, 2024

Presentation TCT 2024

Advanced planning for TAVR in Bicuspid Aortic Stenosis

Presenter: Hasan Jilaihawi

October 29, 2024

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

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Investigating Artificial Intelligence as Applied to a Digital 12 Lead ECG to Determine Coronary Artery Stenosis Severity: The ECGio ROPES Study

Artificial Intelligence-Enhanced Dual-Modal Fluorescence Lifetime Imaging-Optical Coherence Tomography in Patients with Coronary Artery Disease

Advanced planning for Life Time Management with Self Expanding TAVR platform

Welcome: Improving Decision Making with Computational Predictive Modeling and Artificial Intelligence

Real World Complex Decision Making With DASI Simulations

Advanced planning for TAVR in Bicuspid Aortic Stenosis

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

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