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Presentation TCT 2023

Continuous Non-Invasive Biological Sample Biomarkers for Chronic Disease Monitoring (GPX)

Presenter: Javier Echenique

October 24, 2023

Presentation TCT 2023

Predicting Ischemic and Bleeding Risk in Patients after PCI on DAPT: An Individualized Patient Centered Machine Learning Model

Presenter: Roxana Mehran

October 24, 2023

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

Keynote Lecture: The Cath-Lab of the Future – From Diagnosis to the Virtual Planning of Complex Procedures

Presenter: Giora Weisz

October 23, 2023

Presentation TCT 2023

(TCT62019) Completeness of Revascularization by FFRCT: Association to Patient- and Vessel-Oriented Cardiac Outcomes

Presenter: Kristian Taekker Madsen

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

TCT 372: Predicting pressure gradient and patient prosthesis mismatch using artificial intelligence for trans-catheter aortic valve replacement

Presenter: Anoushka Dasi

September 19, 2022

Presentation TCT 2022

TCT 254: Histology-Trained Deep Learning Methodology for Automated Coronary Plaque Component Classification in Combined Intravascular Ultrasound-Optical Coherence Tomography Images

Presenter: Retesh Bajaj

September 19, 2022

Presentation TCT 2022

TCT 252: Comparison of the estimations of ElucidVivo software and NIRS-IVUS for lumen, vessel wall and plaque dimensions and it’s composition

Presenter: Ramya Parasa

September 19, 2022

Presentation TCT 2022

Using AI-Based Analysis of ECGs and Multimodality Datasets to Improve Diagnosis of Valvular Heart Disease, Cardiac Amyloidosis, and Heart Failure

Presenter: Timothy Joseph Poterucha

September 19, 2022

Presentation TCT 2022

TCT 251: Artificial Intelligence Versus Visual Assessment of Calcified Plaque in Coronary Artery Using Optical Coherence Tomography

Presenter: Yuki Katagiri

September 19, 2022

Presentation TCT 2022

TCT 250: A Novel Coronary Computed Tomography Angiography Deep-Learning Methodology for Coronary Atheroma Quantification and Characterization Trained Using Near-Infrared Spectroscopy-Intravascular Ultrasound

Presenter: Retesh Bajaj

September 19, 2022

Presentation TCT 2022

Pairing AI With CCTA to Drive Personalized Care (Cleerly)

Presenter: James K. Min

September 19, 2022

Presentation TCT 2022

Using AI and Fluid Dynamics to Improve CCTA Diagnosis and Outcomes (HeartFlow)

Presenter: Campbell Rogers

September 19, 2022

Presentation TCT 2022

Intravascular Imaging: Rapid, Predictable, and Actionable OCT Analysis

Presenter: Nick E. J. West

September 19, 2022

Presentation TCT 2022

Invasive Angiography: Moving Beyond the Human Eye

Presenter: Robert Avram

September 19, 2022

Presentation TCT 2022

Keynote Lecture: The Future of Diagnostic Imaging Modalities (Intra- and Extra-Vascular) and Implications for Transcatheter Therapies

Presenter: Patrick Washington Serruys

September 19, 2022

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Continuous Non-Invasive Biological Sample Biomarkers for Chronic Disease Monitoring (GPX)

Predicting Ischemic and Bleeding Risk in Patients after PCI on DAPT: An Individualized Patient Centered Machine Learning Model

Innovations in Research and Population Health: Leveraging Big Data

STEMI Networks – Digital Solutions Integrating Care

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

Keynote Lecture: The Cath-Lab of the Future – From Diagnosis to the Virtual Planning of Complex Procedures

(TCT62019) Completeness of Revascularization by FFRCT: Association to Patient- and Vessel-Oriented Cardiac Outcomes

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

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

TCT 372: Predicting pressure gradient and patient prosthesis mismatch using artificial intelligence for trans-catheter aortic valve replacement

TCT 254: Histology-Trained Deep Learning Methodology for Automated Coronary Plaque Component Classification in Combined Intravascular Ultrasound-Optical Coherence Tomography Images

TCT 252: Comparison of the estimations of ElucidVivo software and NIRS-IVUS for lumen, vessel wall and plaque dimensions and it’s composition

Using AI-Based Analysis of ECGs and Multimodality Datasets to Improve Diagnosis of Valvular Heart Disease, Cardiac Amyloidosis, and Heart Failure

TCT 251: Artificial Intelligence Versus Visual Assessment of Calcified Plaque in Coronary Artery Using Optical Coherence Tomography

TCT 250: A Novel Coronary Computed Tomography Angiography Deep-Learning Methodology for Coronary Atheroma Quantification and Characterization Trained Using Near-Infrared Spectroscopy-Intravascular Ultrasound

Pairing AI With CCTA to Drive Personalized Care (Cleerly)

Using AI and Fluid Dynamics to Improve CCTA Diagnosis and Outcomes (HeartFlow)

Intravascular Imaging: Rapid, Predictable, and Actionable OCT Analysis

Invasive Angiography: Moving Beyond the Human Eye

Keynote Lecture: The Future of Diagnostic Imaging Modalities (Intra- and Extra-Vascular) and Implications for Transcatheter Therapies

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