Michigan AI Laboratory
News
Harnessing tech to shape the future of pandemic defense
The Computing Community Consortium, including CSE Prof. Rada Mihalcea, has released a new workshop report on the role of computing in preventing and mitigating the effects of pandemics.
Alex Rodríguez receives Georgia Tech Outstanding Doctoral Dissertation Award
Given by the Georgia Tech College of Computing, the award recognizes the excellence of Rodríguez’s dissertation on AI in epidemic forecasting.
Widely used AI tool for early sepsis detection may be cribbing doctors’ suspicions
When using only data collected before patients with sepsis received treatments or medical tests, the model’s accuracy was no better than a coin toss.
How can machine learning impact healthcare?
Prof. Jenna Wiens uses machine learning to make sense of the immense amount of patient data generated by modern hospitals. This can help alleviate physician shortages, physician burnout, and the prevalence of medical errors.
Making AI explainable
Researchers in Prof. Nikola Banovic’s lab work to make AI models understandable to the people who ultimately have to use them – clinicians, policymakers, engineers, artists, designers, and the broader public. Most models rely on complex mathematical outputs to communicate things like how they arrived at a certain answer, or how “confident” the model is in its output. Instead, Banovic and his students design interactive tools to connect the dots for end-users.