A machine learning model, developed in partnership by the U.S. Department of Veterans Affairs (VA) and DeepMind, recognizes signs of acute kidney injury (AKI) in more than 90% of severe kidney disease cases. Moreover, these signs can be detected 48 hours sooner than with usual care. AKI is a condition that leads to deterioration of the kidneys. In severe cases, it can lead to the need for a transplant or death. AKI typically occurs with consumers being cared for in a hospital, and is usually a sign of a rapid downturn that requires emergency measures by hospital staff to . . .