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e proliferation of health-related information presents unprecedented opportunities to
improve patient care. However, medical experts are currently overwhelmed by information,
and existing artificial intelligence (AI) technologies are oen inadequate for the challenges
associated with analyzing clinical data. Novel computational methods are needed to process,
organize, and make sense of these data. e objective of this workshop is to discuss computational methods that transform healthcare data into knowledge that ultimately improves
patient care. Moreover, this workshop will focus on community building, by bringing
together AI researchers interested in health and physicians interested in AI. e workshop
will include a structured discussion around venues for this sort of emerging, interdisciplinary work.
- Finale Doshi-Velez, David Kale, Byron Wallace, and Jenna Wiens