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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 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

Presentation TCT 2023

TCT 607: Machine Learning for Predicting Major Adverse Cardiac Events in Percutaneous Coronary Intervention of Coronary Artery Chronic Total Occlusion

Presenter: Judit Karacsonyi

October 25, 2023

Presentation TCT 2023

TCT 284: Do the Novel Pulmonary Risk Factors Identified by the Machine Learning Have an Impact on Outcomes of Revascularisation in Complex Coronary Artery Disease?

Presenter: SHIGETAKA KAGEYAMA

October 25, 2023

Presentation TCT 2023

TCT 715: Laminar Flow Predicted Correctly No Progression in Severity of Moderate Stenotic Lesion: a Dynamic Angiographic and Machine Learning Analysis

Presenter: Duc Nguyen

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

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

Presenter: Mamas Mamas

October 23, 2023

Presentation CTO 2023

Machine Learning for Predicting Procedural Success in Percutaneous Coronary Intervention of Coronary Artery Chronic Total Occlusion

Presenter: Judit Karacsonyi

February 23, 2023

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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 197: Machine Learning Model for Predicting Mortality in Acute Myocardial Infarction Patients managed with or without Beta-Blocker

TCT 607: Machine Learning for Predicting Major Adverse Cardiac Events in Percutaneous Coronary Intervention of Coronary Artery Chronic Total Occlusion

TCT 284: Do the Novel Pulmonary Risk Factors Identified by the Machine Learning Have an Impact on Outcomes of Revascularisation in Complex Coronary Artery Disease?

TCT 715: Laminar Flow Predicted Correctly No Progression in Severity of Moderate Stenotic Lesion: a Dynamic Angiographic and Machine Learning Analysis

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

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

Machine Learning for Predicting Procedural Success in Percutaneous Coronary Intervention of Coronary Artery Chronic Total Occlusion

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