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AI in Cardiovascular Care: Integrating the Future Into Clinical Practice Today
How to Register
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Overview

Join this innovative webinar that defines the role and capabilities of AI in cardiovascular care, educates on key points from the JACC State-of -the-Art Review on AI-based disease detection, and highlights best practices for integrating AI tools into patient care workflow. 

Faculty and Agenda
Tuesday, September 9, 2025

6 pm Eastern, 5 pm Central, 4 pm Mountain, 3 pm Pacific

Yiannis Chatzizisis, MD, PhD, FSCAI
Moderator

Professor of Medicine, Chief, Division of Cardiovascular Medicine 
University of Miami 
Pierre Elias, MD
Overview of Basics of AI in Medicine

Medical Director for Artificial Intelligence, New York Presbyterian Hospital 
Assistant Prof in the Division of Cardiology and Dept of Biomedical Informatics, Columbia 
Philippe Genereux, MD
Integrating AI Into Practice: Greater Detection and Diagnosis of AS Patients


Director, Structural Heart Program
Morristown Medical Center 
Rohan Khera, MD
AI in Cardiovascular Care: What is the Big Deal?


Assistant Professor of Medicine, CV Medicine and Biostatistics, Yale School of Medicine 
Clinical Director, Center for Health Informatics and Analytics, Yale New Haven Hospital
Yale Core Director, CV Data Science Lab
Effie Andrikopoulou, MD
Panelist

Associate Prof of Medicine, University of Washington
Medical Director, Echocardiography Lab, Harborview Medical Center 
Julia Graspa, MD
Panelist

Cardiologist, Brigham and Women’s Hospital, Harvard Medical School 
Honorary Faculty, Cardiology, Imperial College London 


Thomas M. Maddox, MD
Panelist

Professor of Medicine, CV Division, Washington University School of Medicine 
VP, Digital Products and Innovation BJC Healthcare 
Acknowledgement of Commercial Support
This activity is supported by an unrestricted educational grant from Bridge Bio.
Learning Objectives
At the conclusion of this initiative participants will be able to demonstrate the ability to: 
  1. Define AI’s role in cardiovascular care and its clinical applications.
  2. Describe strategies for incorporating AI into practice with minimal disruption.
  3. Evaluate AI-generated outputs and identify potential biases.
  4. Apply AI-driven techniques in echocardiography, ECG interpretation, and risk prediction.
Accredited Continuing Education Information

Accreditation Statement
The Society for Cardiovascular Angiography and Interventions (SCAI) is accredited by the 
Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.

​Credit Designation
SCAI designates this live activity for a maximum of 1.0 AMA PRA Category 1 Credit™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

​ABIM MOC
Successful completion of this CME activity, which includes participation in the evaluation component, enables the learner to earn up to 1.0 MOC point in the American Board of Internal Medicine (ABIM) Maintenance of Certification (MOC) program. It is the CME activity provider’s responsibility to submit learner completion information to ACCME for the purpose of granting ABIM MOC credit.

Successful Completion
Participate in the live activties on zoom and complete the evaluation to obtain credit.

Copyright
© 2025 Society for Cardiovascular Angiography and Interventions (SCAI). All rights reserved.
Summary
Availability:
Registration Required
Expires on Nov 09, 2025
Location:
SCAI Education Zoom
Date / Time:
Sep 09, 2025 6:00 PM - 7:00 PM ET
Cost:
FREE
Credit Offered:
1 CME Credit
1 ABIM-MOC Point
1 Participation Credit
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