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Making healthcare better through

Artificial Intelligence
Innovation
Research
Education
Clinical Care

Projects

miAfib

Novel approaches for assessment of symptoms, affect and functional status in patients with Atrial Fibrillation.

We are building a multidimensional database using digital tools and wearable sensors to assess symptoms in patients with atrial fibrillation.

Virtual MRI

Simulating the actual MRI experience

We are creating an immersive virtual reality tool to simulate the experience of patients undergoing MRIs.

Preventing deconditioning in patients with heart failure

We are developing an ambulation and education program facilitated by a mobility technician and wearable sensors to promote early ambulation in patients admitted with congestive heart failure.

Blog

Machine Learning Resources

Machine Learning Resources

Best of free machine learning resourcesIntroduction to statistical learning  https://www.statlearning.com/ Cool videos on Machine  learning  https://www.youtube.com/watch?v=0MNVhXEX9to&feature=youtu.be Machine Learning Street Talk ...

Components of Innovation Ecosystem

Design Principles for an Innovation EcosystemWe leveraged the existing design principles for building an effective innovation ecosystem within and outside of healthcare. These institutions include Proctor and Gamble’s “open innovation” model, Agency for Healthcare...

Innovation road map

Innovation Roadmap at University of Michigan.Although United States leads the world in health care spending, it lags behind its peers in many quality measures. To ensure a sustainable future for health care, it needs to be proactive, predictive, hyper-personalized,...

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