On-Demand Webinar: Stanford HAI COVID+AI Conference, Session III: The Medical Road out of COVID

On-Demand Webinar: Stanford HAI COVID+AI Conference, Session III: The Medical Road out of COVID

Internet Enduring Material sponsored by the Stanford University School of Medicine. Presented by the Department of Stanford Institute for Human-Centered Artificial Intelligence (HAI) at the Stanford University School of Medicine. 

Scholars from across disciplines will discuss their research using AI, data science and/or informatics to help us understand how we emerge from the COVID crisis. Session Topics: New Models for Financing Vaccine Trials; A High-Resolution Assessment of COVID Infection in the Bay Area; and Leveraging Machine Learning in Strategy on COVID-19.

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

• Examine critical decision points for the medical road ahead relating to: COVID-19, key trends to watch, some alternate options related to vaccine creation, Bay Area COVID-related outcomes, and how AI may (and may not) be able to help local, national, and global decision-makers in the months ahead.
• Review the status of some ongoing medical trials being run in the Bay Area.

Estimated Time to Complete: 1 hourCME Credits Offered: 1.00Registration Fee: FREE*Originally recorded 06/01/2020, as part of the COVID + AI: The Road Ahead Conference.  Only session III of the conference is accredited for CME.  If you would like to watch Session I and II of the conference you can view here.

AccreditationThe Stanford University School of Medicine is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.Credit DesignationThe Stanford University School of Medicine designates this Enduring Material for a maximum of 1.00 AMA PRA Category 1 CreditsTM.  Physicians should claim only the credit commensurate with the extent of their participation in the activity.

COVID-19 CME Resources: https://med.stanford.edu/cme/COVID19.html