Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...

Sepsis, or infection causing life-threatening organ dysfunction, is a leading cause of death in children worldwide. In efforts to prevent this rare but critical condition, researchers developed and ...

Early recognition of sepsis remains challenging given heterogeneity in presentation. Existing screening tools have not yet ...

Sepsis, or infection causing life-threatening organ dysfunction, is a leading cause of death in children worldwide. In efforts to prevent this rare but critical condition, researchers developed and ...

Researchers at Chicago-based Northwestern University and Ann & Robert H. Lurie Children’s Hospital of Chicago developed AI models that identify children with high risk of developing sepsis within 48 ...

A new sepsis prediction score was used in 77% of patients during out-of-hours GP visits in Netherlands, with 85% usage seen in acutely ill patients. GPs found the score convenient, with 93% rating it ...