Using Artificial Intelligence to Predict Shock-Refractory Ventricular Fibrillation

GRAND ROUND OBJECTIVES

Upon completion of this program, attendees should be able to:

• Understanding the meaning and consequences of shock-refractory ventricular fibrillation (VF).
• Appreciate the therapeutic value and diagnostic limitations posed by CPR during resuscitation of cardiac arrest.
• Under how ECG analysis using A.I. during ongoing CPR may be able to help estimate patient status and predict shock-refractory VF.

ACCREDITATION FOR CARDIOVASCULAR GRAND ROUNDS

The University of Washington School of Medicine is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.

The University of Washington School of Medicine designates this live activity for a maximum of 36.0 AMA PRA Category 1 Credits.

Physicians should claim only the credit commensurate with the extent of their participation in the activity. (Each session is 1.0 credit)

To request disability accommodation, contact the Office of the Disability Services Office at least ten days in advance of the event at 206-543-6450 (voice), 206-543-6452 (TTY), 206-685-7264 (FAX), dso@u.washington.edu