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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 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 THT Abstracts 2024

Accuracy and Consistency of Online Chat-based Artificial Intelligence Platforms in Answering Patients' 2019 Questions About Heart Failure

Presenter: Elie Kozaily

March 04, 2024

Presentation TCT 2023

Innovations in Research and Population Health: Leveraging Big Data

Presenter: Leila Abid

October 23, 2023

Presentation TCT 2023

STEMI Networks – Digital Solutions Integrating Care

Presenter: Magdy Abdelhamid

October 23, 2023

Presentation TCT 2023

Virtual Health Centers - Why, How, and Do They Work?

Presenter: Adel Tash

October 23, 2023

Presentation TCT 2023

Counterpoint: AI and Machine Learning Have Significant Limitations – A Word of Caution

Presenter: Mamas Mamas

October 23, 2023

Presentation TCT 2023

Point: COVID Propelled AI-Based Applications As Never Seen Before

Presenter: Mirvat Alasnag

October 23, 2023

Presentation TCT 2022

Come With Me If You Want to Survive: The Future of AI in Cardiology

Presenter: Pierre Elias

September 19, 2022

Presentation TCT 2019

Fascinating Lecture: Use of Artificial intelligence to Develop Cardiac Risk Score for Predicting CAD in the Next 7 Years

Presenter: Shiv Kumar

September 26, 2019

Session XI: Future Directions and Challenges in the MedTech Field - Featured Technology: Real-World Evidence Generation Technology Using Artificial Intelligence and Deep Learning to Predict Disease Risk and Efficacy of Therapy (HOLMUSK)

Presentation TCT 2019

Featured Technology: Real-World Evidence Generation Technology Using Artificial Intelligence and Deep Learning to Predict Disease Risk and Efficacy of Therapy (HOLMUSK)

Presenter: Joydeep Sarkar

September 26, 2019

Presentation TCT 2019

Impact of Artificial Intelligence and Advanced Imaging Integration in Robotic System Development and Clinical Integration

Presenter: John Pavlides

September 25, 2019

Presentation TCT 2018

From 3D Printing to Virtual Implantation: A Guide to the Future of Structural Heart Interventions

Presenter: Mayra Guerrero, James K. Min, James Otton

September 23, 2018

Presentation TCT 2018

Artificial Intelligence and the Future of Interventional Cardiology

Presenter: Mayra Guerrero, James K. Min, Partha Sardar

September 23, 2018

Presentation TCT 2018

Industry Perspective

Presenter: C. Michael Gibson, William H. Maisel, Campbell Rogers

September 22, 2018

Presentation TCT 2018

Clinician Scientist/Trialist Perspective

Presenter: C. Michael Gibson, William H. Maisel, James K. Min

September 22, 2018

Presentation TCT 2018

FDA Perspectives

Presenter: C. Michael Gibson, William H. Maisel, Mohua Choudhury

September 22, 2018

Presentation TCT 2018

Keynote Lecture: The Potential Impact of Machine Learning/Artificial Intelligence on Cardiovascular Medical Device Development

Presenter: C. Michael Gibson, William H. Maisel, Peter J. Fitzgerald

September 22, 2018

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

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

Accuracy and Consistency of Online Chat-based Artificial Intelligence Platforms in Answering Patients' 2019 Questions About Heart Failure

Innovations in Research and Population Health: Leveraging Big Data

STEMI Networks – Digital Solutions Integrating Care

Virtual Health Centers - Why, How, and Do They Work?

Counterpoint: AI and Machine Learning Have Significant Limitations – A Word of Caution

Point: COVID Propelled AI-Based Applications As Never Seen Before

Come With Me If You Want to Survive: The Future of AI in Cardiology

Fascinating Lecture: Use of Artificial intelligence to Develop Cardiac Risk Score for Predicting CAD in the Next 7 Years

Featured Technology: Real-World Evidence Generation Technology Using Artificial Intelligence and Deep Learning to Predict Disease Risk and Efficacy of Therapy (HOLMUSK)

Impact of Artificial Intelligence and Advanced Imaging Integration in Robotic System Development and Clinical Integration

From 3D Printing to Virtual Implantation: A Guide to the Future of Structural Heart Interventions

Artificial Intelligence and the Future of Interventional Cardiology

Industry Perspective

Clinician Scientist/Trialist Perspective

FDA Perspectives

Keynote Lecture: The Potential Impact of Machine Learning/Artificial Intelligence on Cardiovascular Medical Device Development

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