Recognizing kidney injury due to burns is improved by artificial intelligence

Many burn victims suffer acute kidney injury (AKI), but early recognition of AKI remains challenging. Now an Artificial Intelligence / Machine Learning (AI/ML) model developed at UC Davis Health and reported in a new study can predict acute kidney injury quicker and more accurately than ever. "The ability to predict AKI in burn patients using AI is a potential breakthrough for burn centers," said Tina Palmieri, professor and director of the Firefighters Burn Institute Regional Burn Center at UC Davis Medical Center. "If we can tell that a patient might have kidney injury, we can institute measures to prevent it." What is acute kidney injury?