[Colloquium] Today: Jenna Wiens (Michigan) - From Diagnosis to Treatment: Augmenting Clinical Decision Making with Artificial Intelligence

[Rob Mitchum]

*Data Science Institute Distinguished Speaker Series*

*Jenna Wiens*
*Associate Professor of Computer Science and Engineering (CSE), Associate
Director of the AI Lab, and Co-Director of Precision Health*
*University of Michigan, Ann Arbor*

*Monday, November 8th*
*3:00 p.m. - 4:00 p.m.*
*In-Person (JCL 390) or Live Stream (YouTube
<https://youtu.be/maC_Vs_n3QA>, Zoom
<https://uchicagogroup.zoom.us/j/92738849328?pwd=alFuY1IvYlkvZUN3UEdmUjZUdW96UT09>)*
*Register
<https://www.eventbrite.com/e/jenna-wiens-michigan-augmenting-clinical-decision-making-with-ai-tickets-198441161857>
with
preference for in-person or remote*


*From Diagnosis to Treatment: Augmenting Clinical Decision Making with
Artificial Intelligence*

Though the potential of artificial intelligence (AI) in healthcare warrants
genuine enthusiasm, meaningful impact will require careful integration into
clinical care. AI tools are susceptible to mistakes and rarely capable of
capturing all of the nuances pertaining to a complex clinical situation.
Thus, we propose approaches designed to augment, rather than replace,
clinicians during clinical decision making. In this talk, I will highlight
two related research directions in which we propose i) a transfer learning
approach for mitigating potentially harmful shortcuts when making diagnoses
and ii) a novel reinforcement learning approach for matching patients to
treatments. In summary, there’s a critical need for machine learning in
healthcare; however, the safe and meaningful adoption of these techniques
will require collaboration between clinicians and AI.

*Bio:* Jenna Wiens <http://www-personal.umich.edu/~wiensj/index.html> is an
Associate Professor of Computer Science and Engineering (CSE), Associate
Director of the AI Lab, and co-Director of Precision Health at the
University of Michigan in Ann Arbor. Her primary research interests lie at
the intersection of machine learning, data mining, and healthcare. Wiens
received her PhD from MIT in 2014,  was named to the MIT Tech Review’s list
of Innovators Under 35 in 2017, and recently was awarded a Sloan Research
Fellowship in Computer Science.


*Part of the Data Science Institute Distinguished Speaker Series:*

*Defining The Field of Data Science*
As data science evolves from buzzword to a mature and singular field, its
research questions dive deeper into the foundations of this new discipline.
The Fall 2021 Distinguished Speaker Series convenes world-class experts
actively exploring and expanding the fundamental methods and approaches
that transform large and complex datasets into knowledge and action,
fueling new applications in areas such as artificial intelligence,
healthcare, and the social sciences. Join the new UChicago Data Science
Institute for provocative talks and discussion that will illuminate the
bedrock and promise of the flourishing field of data science.

*This convening is open to all invitees who are compliant with UChicago
vaccination requirements and, because of ongoing health risks, particularly
to the unvaccinated, participants are expected to adopt the risk mitigation
measures (masking and social distancing, etc.) appropriate to their
vaccination status as advised by public health officials or to their
individual vulnerabilities as advised by a medical professional. Public
convening may not be safe for all and carries a risk for contracting
COVID-19, particularly for those unvaccinated. Participants will not know
the vaccination status of others and should follow appropriate risk
mitigation measures.*


-- 
*Rob Mitchum*

*Associate Director of Communications for Data Science and Computing*
*University of Chicago*
*rmitchum at uchicago.edu <rmitchum at ci.uchicago.edu>*
*773-484-9890*
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