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AIMI-IBIIS Seminar: Building Fair and Trustworthy AI for Healthcare - Roxana Daneshjou, MD, PhD

Event Details:

Wednesday, April 17, 2024
12:00pm - 1:00pm PDT


Hybrid: In person at Clark S360 | Virtual via Zoom

This event is open to:

Roxana Daneshjou, MD, PhD
Assistant Professor of Biomedical Data Science and of Dermatology 
Stanford University 

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.

Bio: Dr. Daneshjou studied Bioengineering at Rice University before matriculating to Stanford School of Medicine where she completed her MD and a PhD in Genetics with Dr. Russ Altman as part of the medical scientist training program. She completed dermatology residency at Stanford as part of the research track and completed a postdoc in Biomedical Data Science with Dr. James Zou. She currently is the assistant director of the Center of Excellence for Precision Heath & Pharmacogenomics, director of informatics for the Stanford Skin Innovation and Interventional Research Group (SIIRG), a founding member of the Translational AI in Dermatology (TRAIND) group, and a faculty affiliate of Human-centered Artificial Intelligence (HAI) and the AI in Medicine and Imaging (AIMI) centers.

Attendance is open to the Stanford and AIMI affiliate community. Please contact for the Zoom link if you would like to attend virtually. A recording of the presentation will be posted on the Stanford AIMI YouTube channel shortly after the event.

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