The 26th Annual Reza Gandjei Lecture: What Does AI Mean for Medicine? with Ziad Obermeyer
Department of Medicine Grand Rounds
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In this Grand Rounds, we will take our understanding of the impact of AI on healthcare to the next level, exploring the intricacies of AI algorithms, including how subtle issues can result in undesirable outcomes, such as the perpetuation of racial biases. This session, from an international thought leader in AI, equity, and policy, will deepen your understanding of how AI uses clinical data to make predictions and offer guidance, and enable you to appreciate some of the new risks that we’ll need to mitigate as the technology rolls out in healthcare.
This lecture, the 26th in the series, is in memory of Reza Gandjei, who was a UCSF medicine resident in the 1990s and died far too young. Reza, who was both a Marshall and Rhodes Scholar while a student at Harvard Medical School, had a particular interest in healthcare ethics and policy, and so speakers in this series have been international experts in these topics.
Speaker
This year’s Gandjei lecturer is Ziad Obermeyer, MD. Ziad is an associate professor and the Blue Cross of California Distinguished Professor at the UC Berkeley School of Public Health. He is a Chan Zuckerberg Biohub investigator, a faculty research fellow at the National Bureau of Economic Research, and was named one of the 100 most influential people in AI by TIME magazine and an emerging leader by the National Academy of Medicine. His work on algorithmic bias has been highly influential both in public debate about AI algorithms, having published in Science, Nature Medicine, and the New England Journal of Medicine. He is co-founder of Nightingale Open Science, a nonprofit that makes massive new medical imaging datasets available for research, and Dandelion, a platform for AI innovation in health.
How to Attend
In Person:
N-217 (Nursing Building, enter through 521 Parnassus Avenue.)
Lunch will be provided.
By Phone (for higher quality, dial a number based on your current location):
US: +1 669 900 6833 or +1 346 248 7799 or +1 312 626 6799 or
+1 646 558 8656 or +1 253 215 8782 or +1 301 715 8592
International numbers available: https://ucsf.zoom.us/u/abBh6VatYU
Add to Calendar2024-02-01 20:00:002024-02-01 21:00:00The 26th Annual Reza Gandjei Lecture: What Does AI Mean for Medicine? with Ziad Obermeyer
In this Grand Rounds, we will take our understanding of the impact of AI on healthcare to the next level, exploring the intricacies of AI algorithms, including how subtle issues can result in undesirable outcomes, such as the perpetuation of racial biases. This session, from an international thought leader in AI, equity, and policy, will deepen your understanding of how AI uses clinical data to make predictions and offer guidance, and enable you to appreciate some of the new risks that we’ll need to mitigate as the technology rolls out in healthcare.
This lecture, the 26th in the series, is in memory of Reza Gandjei, who was a UCSF medicine resident in the 1990s and died far too young. Reza, who was both a Marshall and Rhodes Scholar while a student at Harvard Medical School, had a particular interest in healthcare ethics and policy, and so speakers in this series have been international experts in these topics.
Speaker
This year’s Gandjei lecturer is Ziad Obermeyer, MD. Ziad is an associate professor and the Blue Cross of California Distinguished Professor at the UC Berkeley School of Public Health. He is a Chan Zuckerberg Biohub investigator, a faculty research fellow at the National Bureau of Economic Research, and was named one of the 100 most influential people in AI by TIME magazine and an emerging leader by the National Academy of Medicine. His work on algorithmic bias has been highly influential both in public debate about AI algorithms, having published in Science, Nature Medicine, and the New England Journal of Medicine. He is co-founder of Nightingale Open Science, a nonprofit that makes massive new medical imaging datasets available for research, and Dandelion, a platform for AI innovation in health.
How to Attend
In Person:
N-217 (Nursing Building, enter through 521 Parnassus Avenue.)
Lunch will be provided.
On Zoom:
Join from a PC, Mac, iPad, iPhone or Android device:
https://ucsf.zoom.us/j/93868706312?pwd=ZWpzeHlNYmJzcUp3c1JxRWpyTGF2QT09
Webinar ID: 938 6870 6312
Passcode: 249803
By Phone (for higher quality, dial a number based on your current location):
US: +1 669 900 6833 or +1 346 248 7799 or +1 312 626 6799 or
+1 646 558 8656 or +1 253 215 8782 or +1 301 715 8592
International numbers available: https://ucsf.zoom.us/u/abBh6VatYU
Department of MedicineAmerica/Los_Angelespublic
