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AI-ECG Model Outperforms STEMI Criteria for Identifying ACS Patients With Occlusions

Todd Neale

December 08, 2023

EuroSMR Score Outperforms Other Tools for M-TEER Risk Profiling

Shelley Wood

November 28, 2023

News Conference News AHA 2023

‘Proof-of-Concept’ AI-ECG May Improve STEMI Care: ARISE

Yael L. Maxwell

November 17, 2023

News Conference News AHA 2023

Novel AI-Guided CV Risk Prediction Takes Aim at Coronary Inflammation

L.A. McKeown

November 17, 2023

News Conference News AHA 2023

AI Improves Detection of Cardiomyopathy in Pregnancy

L.A. McKeown

November 15, 2023

News Opinion Editor's Corner AHA 2023

What’s Going to Be Hot at AHA 2023

Shelley Wood

November 07, 2023

News Conference News TCT 2023

Post-TAVI Conduction Abnormalities: EP Study, Registry Data Provide Snapshots

Caitlin E. Cox

November 03, 2023

Presentation TCT 2023

TCT 496: Artificial Intelligence-Enabled Phenotyping of Patients with Severe Mitral Regurgitation: on the Recovery of Extra-Mitral Valve Cardiac Damage after Transcatheter Edge-to-Edge Repair

Presenter: Elena Rippen

October 26, 2023

Presentation TCT 2023

TCT 449: Artificial Intelligence to Predict Optimal Procedural Outcome after Mitral Transcatheter Edge-to-Edge Repair.

Presenter: Mathias Claeys

October 26, 2023

Presentation TCT 2023

TCT 268: Index of Suspicion: Predictors of Tricuspid Regurgitation progression and Follow-up Echo imaging- An Artificial-intelligence enhanced study

Presenter: Omar Khalique

October 26, 2023

Presentation TCT 2023

TCT 163: Artificial Intelligence-Enabled Assessment of Right Ventricular to Pulmonary Artery Coupling Refines Mortality Prediction in Patients with Severe Tricuspid Regurgitation Undergoing Transcatheter Tricuspid Valve Intervention

Presenter: Mark Lachmann

October 26, 2023

Presentation TCT 2023

Artificial Intelligence for Imaging and Physiology Interpretation

Presenter: Akiko Maehara

October 26, 2023

Presentation TCT 2023

TCT 775: A Machine Learning Based Model Predicts Death in Patients with Severe Asymptomatic Aortic Stenosis

Presenter: APURVA BHARUCHA

October 26, 2023

Presentation TCT 2023

TCT 753: Development of a Machine Learning Based Futility Risk Model to Predict One Year Mortality in Transcatheter Aortic Valve Replacement

Presenter: APURVA BHARUCHA

October 26, 2023

Presentation TCT 2023

TCT 636: Evaluating The Performance of XGBoost Artificial Intelligence Modelling for Predicting Early Hospital Discharge Following Transcatheter Aortic Valve Replacement

Presenter: Chapman Wei

October 26, 2023

Presentation TCT 2023

TCT 618: Computational Predictive Modeling for Bicuspid Transcatheter Aortic Valve Replacements

Presenter: Taylor SBecker

October 26, 2023

Presentation TCT 2023

TCT 387: TAVI-PREP: A deep learning-based tool for automated measurements extraction in TAVI planning

Presenter: Marcel Santaló

October 26, 2023

Presentation TCT 2023

TCT 43: Optimizing Transcatheter Aortic Valve Replacement Outcomes by Identifying Supra-annular Morphology

Presenter: Yuxuan Zhang

October 26, 2023

Presentation TCT 2023

TCT 727: 3D Deep Learning Prediction of Stenting Outcomes in Intravascular Optical Coherence Tomography Images

Presenter: Juhwan Lee

October 26, 2023

Presentation TCT 2023

TCT 613: Comparison of Histology-Trained Deep Learning Approach With Human Expert Analysts for Automated Plaque Component Classification in Hybrid Intravascular Ultrasound-Optical Coherence Tomography Images

Presenter: Retesh Bajaj

October 26, 2023

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AI-ECG Model Outperforms STEMI Criteria for Identifying ACS Patients With Occlusions

EuroSMR Score Outperforms Other Tools for M-TEER Risk Profiling

‘Proof-of-Concept’ AI-ECG May Improve STEMI Care: ARISE

Novel AI-Guided CV Risk Prediction Takes Aim at Coronary Inflammation

AI Improves Detection of Cardiomyopathy in Pregnancy

What’s Going to Be Hot at AHA 2023

Post-TAVI Conduction Abnormalities: EP Study, Registry Data Provide Snapshots

TCT 496: Artificial Intelligence-Enabled Phenotyping of Patients with Severe Mitral Regurgitation: on the Recovery of Extra-Mitral Valve Cardiac Damage after Transcatheter Edge-to-Edge Repair

TCT 449: Artificial Intelligence to Predict Optimal Procedural Outcome after Mitral Transcatheter Edge-to-Edge Repair.

TCT 268: Index of Suspicion: Predictors of Tricuspid Regurgitation progression and Follow-up Echo imaging- An Artificial-intelligence enhanced study

TCT 163: Artificial Intelligence-Enabled Assessment of Right Ventricular to Pulmonary Artery Coupling Refines Mortality Prediction in Patients with Severe Tricuspid Regurgitation Undergoing Transcatheter Tricuspid Valve Intervention

Artificial Intelligence for Imaging and Physiology Interpretation

TCT 775: A Machine Learning Based Model Predicts Death in Patients with Severe Asymptomatic Aortic Stenosis

TCT 753: Development of a Machine Learning Based Futility Risk Model to Predict One Year Mortality in Transcatheter Aortic Valve Replacement

TCT 636: Evaluating The Performance of XGBoost Artificial Intelligence Modelling for Predicting Early Hospital Discharge Following Transcatheter Aortic Valve Replacement

TCT 618: Computational Predictive Modeling for Bicuspid Transcatheter Aortic Valve Replacements

TCT 387: TAVI-PREP: A deep learning-based tool for automated measurements extraction in TAVI planning

TCT 43: Optimizing Transcatheter Aortic Valve Replacement Outcomes by Identifying Supra-annular Morphology

TCT 727: 3D Deep Learning Prediction of Stenting Outcomes in Intravascular Optical Coherence Tomography Images

TCT 613: Comparison of Histology-Trained Deep Learning Approach With Human Expert Analysts for Automated Plaque Component Classification in Hybrid Intravascular Ultrasound-Optical Coherence Tomography Images

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