Turing Clinical AI x Statistical Methods for Health Equity Webinar: Dr Honghan Wu (UCL)
Tue 09 May
|Zoom
Dr Honghan Wu (UCL) will discuss bias in health data and AI in medicine, its impact on health inequality, and present a fairness definition, quantification framework, and experiment results using real-world Intensive Care Unit (ICU) datasets.
Time & Location
09 May 2023, 12:00 – 13:00
Zoom
About the event
The Statistical Methods for Health Equity Series is a monthly online series co-hosted by the Data Science for Health Equity community, the Alan Turing Institute Health Equity Interest Group, and the Department of Statistical Science at University College London.
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Join us for our first ever collab webinar! With the Clinical AI interest group at the Alan Turing Institute, we're delighted to welcome Dr. Honghan Wu from UCL who will be joining us to explore the topic of '"Fair" in the context of AI-enabled clinical decision making'. You can find more information (including how to join) about the Clinical AI interest group here: Clinical AI | The Alan Turing Institute.
Dr Honghan Wu (UCL) will discuss bias in health data and AI in medicine, and its impact on health inequality without effective mitigations. He will then initiate a discussion on what is fairness and present a definition for fairness, a quantification framework,…
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