Jenna Wiens (Michigan) – From Diagnosis to Treatment: Augmenting Clinical Decision Making with Artificial Intelligence

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

This event will take place both in-person at John Crerar Library Building Room 390 and online via Zoom or YouTube. Please register and choose your preference for additional details.

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.

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.

Host: Data Science Institute