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Presentation TCT 2024

TCT 414: Same Day Discharges in Patients Undergoing Elective Percutaneous Coronary Intervention to Chronic Total Occlusions: Experience From a Busy UK Cardiac Centre

Presenter: Aish Sinha

October 28, 2024

Presentation TCT 2024

AI in Diagnostics and Therapeutics: Horizons Ahead

Presenter: Nir Uriel

October 28, 2024

News Conference News TCT 2024

LAAO Outcomes Similar Regardless of Operator’s Specialty

Todd Neale

October 27, 2024

Presentation TCT 2024

Advancing Coronary CTA: Transforming Diagnosis and Management of Coronary Disease in Outpatient Care

Presenter: Udo Hoffmann

October 27, 2024

Presentation TCT 2024

Point of Care Ultrasound (POCUS): Transforming Clinical Care Pathways

Presenter: Andrew Goldsmith

October 27, 2024

Presentation TCT 2024

Cardiac MRI in Valve Disease: Navigating Challenges and Unlocking Potential

Presenter: Joao Cavalcante

October 27, 2024

Presentation TCT 2024

TCT 196: Real-World, Prospective, Multi-Center, Randomized Study to Assess Possible Benefits of Engaging Patients Post PCI Through WhatsApp Based Interactive Platform and Remote Nursing (E-Monitor)

Presenter: Prof.(Dr.) Sundeep Mishra

October 27, 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 195: Enhancing Quantitative Coronary Analysis Accuracy: A Novel Calibration Method Incorporating Table Height and Projection Angle Factors

Presenter: Youngrak Choi

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 205: Automatic Characterization of Post-TAVR CT for the Evaluation of Valve Deterioration

Presenter: Pablo Juan-Salvadores

October 27, 2024

Presentation TCT 2024

TCT 206: Real-Time Predictive Modeling for Deployment of Transcatheter Aortic Valve Prostheses Using a Novel Reduced Order Model-Driven Computational Framework

Presenter: Imran Shah

October 27, 2024

Presentation TCT 2024

TCT 208: Meta-Heart Team: Enhancing Multidisciplinary Heart Teams Through Virtual Reality in the Metaverse

Presenter: Ioannis Skalidis

October 27, 2024

Presentation TCT 2024

TCT 190: Exploring the Effectiveness of Transfer Learning in Identifying Left Ventricular Systolic Dysfunction Among Patients With Left Bundle Branch Block

Presenter: Hak Seung Lee

October 27, 2024

Presentation TCT 2024

TCT 191: Fully Automated Evaluation of Coronary Stent Underexpansion Using Coronary Angiography-Based Deep Learning

Presenter: Jihoon Kweon

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 207: Investigation on the Performance of AI-Powered Fully Automated TAVR Planning Software

Presenter: Stefan Toggweiler

October 27, 2024

Presentation TCT 2024

TCT 209: Deep Learning-Derived Body Composition Analysis Can Predict Long-Term Mortality Following Transcatheter Aortic Valve Replacement

Presenter: Chia-Hao Liu

October 27, 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

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TCT 414: Same Day Discharges in Patients Undergoing Elective Percutaneous Coronary Intervention to Chronic Total Occlusions: Experience From a Busy UK Cardiac Centre

AI in Diagnostics and Therapeutics: Horizons Ahead

LAAO Outcomes Similar Regardless of Operator’s Specialty

Advancing Coronary CTA: Transforming Diagnosis and Management of Coronary Disease in Outpatient Care

Point of Care Ultrasound (POCUS): Transforming Clinical Care Pathways

Cardiac MRI in Valve Disease: Navigating Challenges and Unlocking Potential

TCT 196: Real-World, Prospective, Multi-Center, Randomized Study to Assess Possible Benefits of Engaging Patients Post PCI Through WhatsApp Based Interactive Platform and Remote Nursing (E-Monitor)

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

TCT 195: Enhancing Quantitative Coronary Analysis Accuracy: A Novel Calibration Method Incorporating Table Height and Projection Angle Factors

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 205: Automatic Characterization of Post-TAVR CT for the Evaluation of Valve Deterioration

TCT 206: Real-Time Predictive Modeling for Deployment of Transcatheter Aortic Valve Prostheses Using a Novel Reduced Order Model-Driven Computational Framework

TCT 208: Meta-Heart Team: Enhancing Multidisciplinary Heart Teams Through Virtual Reality in the Metaverse

TCT 190: Exploring the Effectiveness of Transfer Learning in Identifying Left Ventricular Systolic Dysfunction Among Patients With Left Bundle Branch Block

TCT 191: Fully Automated Evaluation of Coronary Stent Underexpansion Using Coronary Angiography-Based Deep Learning

TCT 189: Enhancing Quantitative Coronary Angiography With Advanced Artificial Intelligence

TCT 207: Investigation on the Performance of AI-Powered Fully Automated TAVR Planning Software

TCT 209: Deep Learning-Derived Body Composition Analysis Can Predict Long-Term Mortality Following Transcatheter Aortic Valve Replacement

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

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