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Presentation NY Valves 2024

An Automated Echocardiogram Screening Program to Optimize Treatment of Mitral Regurgitation: A Single Center Experience

Presenter: Bharat Ravishankar

June 05, 2024

Presentation NY Valves 2024

Current and Future use of Artificial Intelligence in Echocardiography

Presenter: Akhil Narang

June 05, 2024

Presentation NY Valves 2024

Transparent and Robust Artificial Intelligence-Driven Electrocardiogram Model for Left Ventricular Systolic Dysfunction

Presenter: Hak Seung Lee

June 05, 2024

Presentation NY Valves 2024

Echocardiographic Speckle Strain Imaging and Valvular Heart Disease Outcomes

Presenter: Madalina Garbi

June 05, 2024

Presentation NY Valves 2024

Revolutionizing Valvular Disease Diagnosis: Empowering Non-Cardiology Practitioners With AI-Augmented POCUS

Presenter: Elad Maor

June 05, 2024

Presentation NY Valves 2024

Unleashing the Potential of CMR and CT: Myocardial Risk Stratification for VHD

Presenter: Omar K. Khalique

June 05, 2024

Presentation NY Valves 2024

Impact and Limitations of 3D Computational Modeling in Transcatheter Mitral Valve Replacement - A 2-Center Dutch Experience

Presenter: Mark M. Van den Dorpel

June 05, 2024

Presentation NY Valves 2024

Aortic Shape Variants Defined by Unbiased Machine Learning Technique Predict Complications in Transcatheter Aortic Valve Replacement

Presenter: Michal Schafer

June 05, 2024

Presentation NY Valves 2024

Overview of the Role of Artificial Intelligence and Machine Learning for VHD Detection

Presenter: Timothy Joseph Poterucha

June 05, 2024

Presentation THT 2024

Automated Read of Echocardiogram to Identify Cardiomyopathy and Valvular Heart Disease

Presenter: Akhil Narang

March 05, 2024

Presentation THT 2024

Heart Failure Diagnosis Using Wearable Devices

Presenter: Rohan Khera

March 05, 2024

Presentation THT 2024

Utilization of 12-Lead ECG in Diagnostics and Management of Cardiomyopathy

Presenter: Christopher Haggerty

March 05, 2024

Presentation THT 2024

Regulatory Aspects of Implementing AI into Heart Failure Diagnostics and Therapeutics

Presenter: Haider Warraich

March 05, 2024

Presentation THT 2024

Growing Role of AI in HF Diagnostics: Are There Any Pitfalls?

Presenter: Partho P. Sengupta

March 05, 2024

Presentation THT 2024

AI in Diagnostics and Therapeutics: Horizons Ahead

Presenter: Harlan Krumholz

March 05, 2024

Presentation THT Abstracts 2024

Accuracy and Consistency of Online Chat-based Artificial Intelligence Platforms in Answering Patients' 2019 Questions About Heart Failure

Presenter: Elie Kozaily

March 04, 2024

Presentation THT 2024

Future Care in HF: Sensors, Artificial Intelligence, and Medicine

Presenter: Jagmeet P. Singh

March 04, 2024

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

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An Automated Echocardiogram Screening Program to Optimize Treatment of Mitral Regurgitation: A Single Center Experience

Current and Future use of Artificial Intelligence in Echocardiography

Transparent and Robust Artificial Intelligence-Driven Electrocardiogram Model for Left Ventricular Systolic Dysfunction

Echocardiographic Speckle Strain Imaging and Valvular Heart Disease Outcomes

Revolutionizing Valvular Disease Diagnosis: Empowering Non-Cardiology Practitioners With AI-Augmented POCUS

Unleashing the Potential of CMR and CT: Myocardial Risk Stratification for VHD

Impact and Limitations of 3D Computational Modeling in Transcatheter Mitral Valve Replacement - A 2-Center Dutch Experience

Aortic Shape Variants Defined by Unbiased Machine Learning Technique Predict Complications in Transcatheter Aortic Valve Replacement

Overview of the Role of Artificial Intelligence and Machine Learning for VHD Detection

Automated Read of Echocardiogram to Identify Cardiomyopathy and Valvular Heart Disease

Heart Failure Diagnosis Using Wearable Devices

Utilization of 12-Lead ECG in Diagnostics and Management of Cardiomyopathy

Regulatory Aspects of Implementing AI into Heart Failure Diagnostics and Therapeutics

Growing Role of AI in HF Diagnostics: Are There Any Pitfalls?

AI in Diagnostics and Therapeutics: Horizons Ahead

Accuracy and Consistency of Online Chat-based Artificial Intelligence Platforms in Answering Patients' 2019 Questions About Heart Failure

Future Care in HF: Sensors, Artificial Intelligence, and Medicine

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

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