Calendar

Jun
3
Thu
2021
IMMERS - Stanford Medical Mixed Reality Panel Discussion Series @ Zoom
IMMERS – Stanford Medical Mixed Reality Panel Discussion Series
Jun 3 @ 9:00 am – 10:30 am Zoom
IMMERS - Stanford Medical Mixed Reality Panel Discussion Series @ Zoom

Join us for a panel on Behavioral XR on Thursday, June 3rd from 9:00 – 10:30 am PDT.  The event will start with a one-hour panel discussion featuring Dr. Elizabeth McMahon, a psychologist with a private practice in California; Sarah Hill of Healium, a company developing XR apps for mental fitness based in Missouri; Christian Angern of Sympatient, a company developing VR for anxiety therapy based in Germany; and Marguerite Manteau-Rao of Penumbra, a medical device company based in California.  This panel will be moderated by Dr. Walter Greenleaf of Stanford’s Virtual Human Interaction Lab (VHIL) and Dr. Christoph Leuze of the Stanford Medical Mixed Reality (SMMR) program.  Immediately following the panel discussion, you are also invited to a 30-minute interactive session with the panelists where questions and ideas can be explored in real time.

 

Register here to save your place now!  After registering, you will receive a confirmation email containing information about joining the meeting.

 

Please visit this page to subscribe to our events mailing list.

 

Sponsored by Stanford Medical Mixed Reality (SMMR)

Apr
17
Wed
2024
IBIIS & AIMI Seminar: Building Fair and Trustworthy AI for Healthcare @ Clark Center S360 - Zoom Details on IBIIS website
IBIIS & AIMI Seminar: Building Fair and Trustworthy AI for Healthcare
Apr 17 @ 12:00 pm – 1:00 pm Clark Center S360 - Zoom Details on IBIIS website

Roxana Daneshjou, MD, PhD
Assistant Professor, Biomedical Data Science & Dermatology
Assistant Director, Center of Excellence for Precision Heath & Pharmacogenomics
Director of Informatics, Stanford Skin Innovation and Interventional Research Group
Stanford University

Title: Building Fair and Trustworthy AI for Healthcare

Abstract: AI for healthcare has the potential to revolutionize how we practice medicine. However, to do this in a fair and trustworthy manner requires special attention to how AI models work and their potential biases. In this talk, I will cover the considerations for building AI systems that improve healthcare.