The academic medical center of the University of Michigan is leveraging investments in artificial intelligence, machine learning, and advanced analytics to unlock the value of its health data.
According to Andrew Rosenberg, chief information officer for Michigan Medicine, the organization currently has 34 ongoing AI and machine learning projects, 28 of which have principal investigators.
“There’s a lot of collaboration around these projects—as there should be for the diversity of thought and background needed to deal with complex problems—working with at least seven other U of M schools,” Rosenberg told the Machine Learning for Health Care conference on Friday in Ann Arbor, Mich. “That’s one of the powers that we enjoy.”
See the full article at Health Data Management. For additional information, read “Taking Machine-Learning Models in Health Care from Concept to Bedside” from U-M’s Precision Health website.