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Prospective Validation of Machine Learning in Risk Stratification of Patients Treated for Cardiogenic Shock
Presenter:
Shuojohn Li
February 11, 2025
Prediction of In-Hospital Mortality Following TAVI Using the FRANCE-TAVI Registry: A Machine Learning Approach
Presenter:
Walid Ben-Ali
October 30, 2024
TCT 264: Improving Risk Stratification of SCAI Stages of Cardiogenic Shock With Machine Learning-Based Phenotyping
Presenter:
Elric Zweck
October 29, 2024
TCT 210: Machine Learning Cluster Analysis Identifies Increased 12-Month Mortality Risk in Transcatheter Aortic Valve Replacement Recipients
Presenter:
Thomas Meredith
October 27, 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
Overview of the Role of Artificial Intelligence and Machine Learning for VHD Detection
Presenter:
Timothy Joseph Poterucha
June 5, 2024
Predicting Successful Chronic Total Occlusion Crossing With Primary Antegrade Wiring Using Machine Learning
Presenter:
Athanasios Rempakos
February 3, 2024
TCT 775: A Machine Learning Based Model Predicts Death in Patients with Severe Asymptomatic Aortic Stenosis
Presenter:
APURVA BHARUCHA
October 26, 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
TCT 197: Machine Learning Model for Predicting Mortality in Acute Myocardial Infarction Patients managed with or without Beta-Blocker
Presenter:
Seung-Woon Rha
October 26, 2023