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Stanford HAI COVID+AI Conference, Session III: The Medical Road out of COVID


Stanford HAI COVID+AI Conference, Session III: The Medical Road out of COVID Banner

  • Overview
  • Faculty
  • Begin


Date & Location
Friday, June 12, 2020, 12:00 AM - Saturday, June 12, 2021, 12:00 AM PST

Overview

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.


Registration

  Release Date: June 12, 2020
  Expiration Date: June 12, 2021
  Estimated Time to Complete: 1 hour
  CME Credits Offered: 1.00
  Registration 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.


Credits
AMA PRA Category 1 Credits™ (1.00 hours), Non-Physician Participation Credit (1.00 hours)

Target Audience
Specialties - All Specialties


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

  1. 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.
  2. Review the status of some ongoing medical trials being run in the Bay Area.

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 1.00 AMA PRA Category 1 CreditsTM.  Physicians should claim only the credit commensurate with the extent of their participation in the activity.


Additional Information

Accessibility Statement
 Stanford University School of Medicine is committed to ensuring that its programs, services, goods and facilities are accessible to individuals with disabilities as specified under Section 504 of the Rehabilitation Act of 1973 and the Americans with Disabilities Amendments Act of 2008. 

Cultural and Linguistic Competency
The planners and speakers of this CME activity have been encouraged to address cultural issues relevant to their topic area for the purpose of complying with California Assembly Bill 1195. Moreover, the Stanford University School of Medicine Multicultural Health Portal contains many useful cultural and linguistic competency tools including culture guides, language access information and pertinent state and federal laws.  You are encouraged to visit the Multicultural Health Portal: http://lane.stanford.edu/portals/cultural.html

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



The Stanford University School of Medicine adheres to ACCME Criteria, Standards and Policies regarding industry support of continuing medical education.   There are no relevant financial relationships with ACCME-defined commercial interests for anyone who was in control of the content of this activity.



Faculty Member Information
Role in activity
Name of commercial interest/Nature of relationship
Russ Biagio Altman, MD
Faculty Associate Director Kenneth Fong Professor and Professor of Bioengineering, of Genetics, of Medicine (General Medical Discipline), of Biomedical Data Science, and, by courtesy, of Computer Science
Faculty
Disclosure Information Not Available
Susan Athey, PhD
The Economics of Technology Professor, Graduate School of Business
Associate Director, Stanford Institute for Human-Centered Artificial Intelligence
Stanford University
Faculty
Disclosure Information Not Available
Eric Horvitz, MD, PhD
Chief Scientific Officer
Microsoft
Faculty
Disclosure Information Not Available
Yvonne Maldonado, MD
Senior Associate Dean, Faculty Development and Divesity, Taube Professor of Global Health and Infectious Diseases, Professor of Pediatrics (Infectious Diseases) and of Epidemiology and Population Health
Stanford University School of Medicine
Faculty
Member, Data Safety Monitoring Board-Pfizer, Inc.

Stanford HAI COVID+AI Conference, Session III: The Medical Road out of COVID
INSTRUCTIONS:  Click the Launch Video button to watch the video. Next, click the Attestation button. Attest to your participation, view results, and complete the evaluation. After successful completion, your credit transcript will be available to view and download immediately in MY CE portal. 

Can’t find the evaluation? Click the MY CE button and select the Evaluation and Certificates tile. Select the Complete Evaluation button associated with the activity. 
Launch Video Attestation


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