Innovation

Artificial-Intelligence Enabled Quantitative CT Assessment of Atherosclerosis and Major Adverse Events: The Multi-Center International CONFIRM2 Registry

Smart Health: Harnessing Wearables and Real Time Data for Personalized Care

Decoding Health: Innovation Trends in Biomarker Discovery and Molecular Diagnostics

Extending CV Innovation Beyond MedTech

The Future of Big Data Analytics: Emerging Trends and Innovative Models

Revolutionizing Big Data Analytics: How Next-Generation Platforms Will Overcome Current Limitations

Big Data: Strengths, Weaknesses, and Opportunities for Enhancement

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

Next Generation Decision Support With AI-Based Predictive Modeling for Improved Long Term Outcomes (DASI Simulations)

Introduction to the Redo TAVR App: Comprehensive Diagnosis and Procedure Planning

First-in-Human Clinical Trial of a Robotic TEE System for Diagnostics and Interventional Guidance (ROB'E)

AI-Powered Robotically Assisted Imaging Solutions for Cardiovascular Interventions (Laza Medical)

Keynote Lecture: The Role of AI in Optimizing Workflow and Automatization in Structural Heart Procedures

AI-Powered Cardiac Ultrasound Improves Identification of High-Risk Aortic Stenosis (EchoIQ)

A Novel AI-Powered Non-Invasive Screening Device for Aortic Stenosis (Clearsight)

Keynote Lecture: AI-Powered Multimodality Cardiac Imaging in Valvular Heart Disease: From Screening to Intervention

Current and Future use of Artificial Intelligence in Echocardiography

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

Commemorative Lecture: Building My Replacement: When AI Exceeds the MD

AI/GPT and its Impact on Healthcare

Big Tech and Healthcare Integration

Artificial Intelligence-Enabled Quantitative Plaque and Hemodynamic Analysis for Predicting Acute Coronary Syndrome Risk and Prevention Strategy: The EMERALD II Study

Precision Measurement of Neurocognitive Health Based on Ocular Digital Phenotyping

Cognitive AI and Computer Vision to Detect Acute Cardiac Conditions Using Facial Analysis (MiaVitalis)

Continuous Non-Invasive Biological Sample Biomarkers for Chronic Disease Monitoring (GPX)

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

AI: What Does All of This Mean for Heart Failure Patients and Doctors

It's All in Front of Our Eyes: How to Exploit EMR in the Heart Failure Management

AI in Cardiac Imaging: What is Hidden in the CT and Radiograph?

EKG in the Screening, Diagnosis and Management of Heart Failure

AI in Cardiac Imaging: What is Hidden Behind the ECHOCARDIOGRAPHIC Image?

The AI Revolution and How It Is Impacting Health Care Delivery in Heart Failure

The Transformative Potential of Digital Health Strategies to Impact Clinical Research and Patient Outcomes

Using AI-Based Analysis of ECGs and Multimodality Datasets to Improve Diagnosis of Valvular Heart Disease, Cardiac Amyloidosis, and Heart Failure

Pairing AI With CCTA to Drive Personalized Care (Cleerly)

Using AI and Fluid Dynamics to Improve CCTA Diagnosis and Outcomes (HeartFlow)

Intravascular Imaging: Rapid, Predictable, and Actionable OCT Analysis

Invasive Angiography: Moving Beyond the Human Eye

Keynote Lecture: The Future of Diagnostic Imaging Modalities (Intra- and Extra-Vascular) and Implications for Transcatheter Therapies

Come With Me If You Want to Survive: The Future of AI in Cardiology

Use of Artificial Intelligence and Machine Learning to Improve Outcomes of Patients With HF

Novel Approaches to Assess Hypertension Control Outside the Office