Researchers Unveil AI System That Predicts Problems During Surgery

A new artificial intelligence system developed by researchers at the University of Washington uses patient data to predict whether patients are at risk of abnormally low blood oxygen (hypoxia) during surgery. University of Washington (UW) researchers have developed an artificial intelligence (AI) system that uses patient data to predict whether patients are at risk of abnormally low blood oxygen (hypoxia) during surgery. The Prescience system also provides users with real-world explanations to support and explain its predictions. In collaboration with physicians, UW's Su-In Lee and colleagues trained Prescience on about 50,000 patient files, so the program could analyze data such as patient age and weight to calculate the likelihood of hypoxemia prior to surgery. The system also uses real-time data during surgery to predict when patients are in danger of hypoxemia, and a new AI model helps Prescience provide doctors a concise description of the prediction's underlying factors.