Class

On-Demand Webinar: COVID-19 and AI: A Virtual Conference

Sponsored by Stanford Center for Continuing Medical Education

When

April 9, 2020 – December 31, 2020
Happening every day.
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Where

Online

Contact via email
Contact via phone

650-497-8554

This event is open to:
Everyone

Admission
Free

Event Details:

Topics to be addressed include: AI applications in diagnostics and treatment, epidemiological tracking and forecasting of the spread of the virus, information and disinformation, and the broader human impact of COVID-19 and pandemics in general on economies, culture, government, and human behavior. Through timely, insightful presentations and interactive sessions, this event will serve to unite a global community toward solutions to benefit all of humanity.

At the conclusion of this activity, learners should be able to:

  • Update knowledge on the ways AI can help during a pandemic, including forecasting the spread of the diseae and the impact of COVID-19 on the economy, society, government and human behavior.

Estimated Time to Complete: 6 hours and 15 minutes
CME Credits Offered: 6.25
Registration Fee: FREE
*Originally recorded 03/31/2020

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

Credit Designation
The Stanford University School of Medicine designates this Enduring Material for a maximum of 6.25 AMA PRA Category 1 CreditsTM.  Physicians should claim only the credit commensurate with the extent of their participation in the activity.

The California Board of Registered Nursing recognizes that Continuing Medical Education (CME) is acceptable for meeting RN continuing education requirements as long as the course is certified for AMA PRA Category 1 CreditsTM (rn.ca.gov).  Nurses will receive a Certificate of Participation following this activity that may be used for license renewal.

For more resources, please visit: 
https://med.stanford.edu/cme/COVID19.html

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