This activity is jointly provided by SynAptiv and AI-MED

Target Audience

This activity has been designed to meet the educational needs of cardiologists.

Goal/Purpose of Activity

The second annual AIMed Cardiology event will bring together clinicians and data scientists with an interest in artificial intelligence in medicine for a virtual meeting. Built around four core modules, the agenda will address data and databases in AI and cardiology; machine and deep learning in cardiology; natural language processing and workflow in cardiology; and issues in AI and cardiology.

Educational Objectives

After completing this activity, the participant should be better able to:

  • Discuss the different types of healthcare data, their limitations, and challenges around data privacy and security.
  • Explain machine and deep learning in cardiology.
  • Describe key ethical questions around artificial intelligence in healthcare.

Faculty / Content Developers

  • – Dr Anthony Chang, Founder, AIMed and Chief Artificial Intelligence Officer, Children’s Hospital of Orange County (CHOC)
  • – James E. Tcheng, MD, FACC, FSACI, Professor of Medicine, Professor of Community Medicine and Family Health (Informatics), Assistant Dean for Academic Appointments, Duke University School of Medicine
  • Louise Sun, MD SM FRCPC FAHA, Anesthesiologist and Director of Big Data and Informatics Research, University of Ottawa Heart Institute
  • – Dr David Albert, Founder and Chief Medical Officer, AliveCor
  • – Dr Rob Brisk, Clinical Research Fellow, Craigavon Area Hospital
  • – Julie Pekarek, Offering Management Executive, IBM Watson Health
  • – Professor Partho Sengupta, Chief, Division of Cardiology, Director, Cardiovascular Imaging; Professor of Medicine, WVU Heart and Vascular Institute
  • Dr Jai Nahar, Attending, Division of Cardiology, Children’s National Hospital, Associate Professor of Pediatrics, George Washington School of Medicine, Washington, DC.
  • – Professor Thierry Mesana, President and CEO, Gordon Henderson Leadership Chair and Valve Surgery Research Chair, University of Ottawa Heart Institute
  • – Professor Francisco Lopez-Jimenez, Co-Director, Artificial Intelligence in Cardiovascular Medicine, Mayo Clinic


Physician Accreditation Statement

This activity has been planned and implemented in accordance with the accreditation requirements and policies of the Accreditation Council for Continuing Medical Education (ACCME) through the joint providership of SynAptiv and AIMed. SynAptiv is accredited by the ACCME to provide continuing medical education for physicians.

SynAptiv designates this virtual event; enduring material; for a maximum of 3.5 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

Disclosure Statement

SynAptiv ensures balance, independence, objectivity, and scientific rigor in all our educational activities. In accordance with this policy, SynAptiv identifies conflicts of interest with its instructors, planners, content managers, and other individuals who are in a position to control the content of an activity.

The following faculty, planner and/or content manager reported the following financial relationship with commercial interests whose products or services may be mentioned in this CE activity:

All faculty, planner and/or content managers have nothing to disclose nor do they have any vested interests or affiliations. All conflicts of interest have been resolved.

Disclaimer Statement

The content, views and opinions presented in this educational activity are those of the faculty/authors and do not necessarily reflect those of SynAptiv or AIMed. The faculty/authors have disclosed if there is any discussion of published and/or investigational uses of agents that are not indicated by the FDA in their presentations. Before prescribing any medicine, primary references and full prescribing information should be consulted. Any procedures, medications, or other courses of diagnosis or treatment discussed or suggested in this activity should not be used by clinicians without evaluation of their patient’s conditions and possible contraindications on dangers in use, review of any applicable manufacturer’s product information, and comparison with recommendations of other authorities. The information presented in this activity is not meant to serve as a guideline for patient management.