291 Campus Drive
Stanford, CA 94305
USA
Stanford Presence Center invites you to our inaugural Human & Artificial Intelligence in Medicine Symposium
This symposium at the intersection of the art, science, engineering, and economics of medicine seeks to engage clinicians, patients, engineers, philosophers, entrepreneurs, academics, and more.
Whether we are ready for it or not, artificial intelligence/machine learning/data-driven technologies are progressively becoming a part of medicine. Yet medicine must remain fundamentally an endeavor of humans caring for other humans.
With purposeful insight, this Human and Artificial Intelligence in Medicine Symposium will bring together a dynamic community of key thought-leaders to guide and mature a conversation on recognizing the powerful potential of such engineering opportunities, while at the same time, mitigating the risks of many unintended, but predictable, consequences.
Register today to join us *early bird pricing until March 1
Tuesday, April 17, 2018
9:00am – 6:00pm, including closing reception
Li Ka Shing Center, 291 Campus Drive, Stanford, Ca
http://med.stanford.edu/presence/initiatives/hiai-symposium.html
Confirmed Speakers:
Abraham Verghese, MD, PhD Eric Topol, MD Fei-Fei Li Bob Kocher
And more…
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Abraham Verghese |
What This Computer Needs is a Physician |
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Eric Topol |
Healthcare Ex Machina: How Artificial Intelligence Will Transform Medicine |
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Lawrence Tierney + Tanya Gupta |
Human Diagnostic Intelligence – A Live Demonstration |
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Mark Graber |
Diagnosis – The Beauty and the Beast |
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Lloyd Minor |
Precision Health vs. Physician Burnout |
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Art Papier |
20 Years Bringing Visual Decision Support to Practice |
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Fei Fei Li |
AI for All |
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Erich Huang |
Creating a Data Science Culture |
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Rob Califf |
Who’s Responsible? Regulatory Guidance |
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Margaret Levi |
AI, Automation, and Society |
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Bob Kocher |
How to Make Our Crazy, Expensive, Amazing, and Uneven Health Care System Better Faster |
For more information visit:
http://med.stanford.edu/presence/initiatives/hiai-symposium.html