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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

Presentation TCT 2022

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

Presenter: Pierre Elias

September 19, 2022

News Conference News TCT 2022

To Cure What Ails US Healthcare: Creativity, Value, Fairness, Says FDA’s Califf

L.A. McKeown

September 18, 2022

Presentation TCT 2022

Use of Artificial Intelligence and Machine Learning to Improve Outcomes of Patients With HF

Presenter: Gabriel Sayer

September 17, 2022

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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

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

To Cure What Ails US Healthcare: Creativity, Value, Fairness, Says FDA’s Califf

Use of Artificial Intelligence and Machine Learning to Improve Outcomes of Patients With HF

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