New artificial intelligence software designed to be an early warning system for sepsis has turned out not as helpful as previously hoped. According to a new U-M study, the model lacked accuracy, having a hard time differentiating between high and low-risk patients. Read more about the findings and the implications for the software’s implementation in hospitals in this article from the Institute for Healthcare Policy and Innovation.
Join us Sept. 14 at the U-M Golf Course for the 2024 Alumni Territory Homecoming Tailgate!