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Presentation TCT 2024

AI in Coronary Imaging: Mainstream or a Niche Research Tool?

Presenter: Bon-Kwon Koo

October 30, 2024

Presentation TCT 2024

Can AI-Assisted Earlier AS Diagnosis Level the Disparities Playing Field?

Presenter: Pierre Elias

October 30, 2024

Presentation TCT 2024

The Transformation of Diagnosis and Risk Profiling for Ischemic Heart disease: An AI Case Study

Presenter: James Min

October 30, 2024

Presentation TCT 2024

How AI Applications Can Change the Landscape of Heart Failure Management

Presenter: Timothy Poterucha

October 30, 2024

Presentation TCT 2024

FDA Perspectives and Regulatory Pathways for AI-Enabled Cardiovascular Devices

Presenter: Stephen Browning

October 30, 2024

Presentation TCT 2024

Creative Uses of AI in Imaging for Structural Heart Disease

Presenter: Partho Sengupta

October 30, 2024

Presentation TCT 2024

The Potential for AI to Enhance Medtech Education: An ISCTR Perspective

Presenter: Nabil Dib

October 30, 2024

Presentation TCT 2024

TCT 585: Impella CP and 5.5 Device Flows Are Overestimated by the SmartAssist Automated Impella Controller (AIC)

Presenter: Christian Said

October 30, 2024

Presentation TCT 2024

Screening for Undiagnosed Aortic Stenosis in Health System EHRs Using ECG-based AI Detection Model (AccurKardia)

Presenter: Moin Hussaini

October 30, 2024

Presentation TCT 2024

High Risk Coronary Atherosclerosis Identified by AI Algorithms and Its Prognostic Timeframe for Predicting Acute Coronary Syndromes

Presenter: Seokhun Yang

October 30, 2024

Presentation TCT 2024

Detecting Structural Heart Disease from Electrocardiograms Using Deep Learning: The DISCOVERY Study and the Multicenter Development and Validation of the EchoNext Model

Presenter: Timothy Poterucha

October 30, 2024

Presentation TCT 2024

Investigating Artificial Intelligence as Applied to a Digital 12 Lead ECG to Determine Coronary Artery Stenosis Severity: The ECGio ROPES Study

Presenter: Michael Leasure

October 30, 2024

Presentation TCT 2024

Prediction of In-Hospital Mortality Following TAVI Using the FRANCE-TAVI Registry: A Machine Learning Approach

Presenter: Walid Ben-Ali

October 30, 2024

Presentation TCT 2024

AI is the Future of PE Care

Presenter: Dan Shilo

October 30, 2024

Presentation TCT 2024

AI Based Image Analysis Algorithms: Implementation and Impact

Presenter: Andrew Sharp

October 30, 2024

Presentation TCT 2024

CT-guided PCI: Optimizing procedural assessment and planning

Presenter: Ziad Ali

October 29, 2024

Presentation TCT 2024

Treating overlooked patients in need of intervention

Presenter: Jimmy Kerrigan

October 29, 2024

Presentation TCT 2024

Evaluating AI-enabled technologies for clinical adoption

Presenter: Akiko Maehara

October 29, 2024

Presentation TCT 2024

Integrating CCTA + AI-Enabled HeartFlow: Real-world experience

Presenter: Suzanne Baron

October 29, 2024

Presentation TCT 2024

Fusion High Frame Rate OCT and AI-Driven FFR for the Assessment of Coronary Lesions (Raywatt)

Presenter: Jung-Sun Kim

October 29, 2024

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AI in Coronary Imaging: Mainstream or a Niche Research Tool?

Can AI-Assisted Earlier AS Diagnosis Level the Disparities Playing Field?

The Transformation of Diagnosis and Risk Profiling for Ischemic Heart disease: An AI Case Study

How AI Applications Can Change the Landscape of Heart Failure Management

FDA Perspectives and Regulatory Pathways for AI-Enabled Cardiovascular Devices

Creative Uses of AI in Imaging for Structural Heart Disease

The Potential for AI to Enhance Medtech Education: An ISCTR Perspective

TCT 585: Impella CP and 5.5 Device Flows Are Overestimated by the SmartAssist Automated Impella Controller (AIC)

Screening for Undiagnosed Aortic Stenosis in Health System EHRs Using ECG-based AI Detection Model (AccurKardia)

High Risk Coronary Atherosclerosis Identified by AI Algorithms and Its Prognostic Timeframe for Predicting Acute Coronary Syndromes

Detecting Structural Heart Disease from Electrocardiograms Using Deep Learning: The DISCOVERY Study and the Multicenter Development and Validation of the EchoNext Model

Investigating Artificial Intelligence as Applied to a Digital 12 Lead ECG to Determine Coronary Artery Stenosis Severity: The ECGio ROPES Study

Prediction of In-Hospital Mortality Following TAVI Using the FRANCE-TAVI Registry: A Machine Learning Approach

AI is the Future of PE Care

AI Based Image Analysis Algorithms: Implementation and Impact

CT-guided PCI: Optimizing procedural assessment and planning

Treating overlooked patients in need of intervention

Evaluating AI-enabled technologies for clinical adoption

Integrating CCTA + AI-Enabled HeartFlow: Real-world experience

Fusion High Frame Rate OCT and AI-Driven FFR for the Assessment of Coronary Lesions (Raywatt)

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