St. Jude Children’s Research Hospital scientists studied how prompting styles influence artificial intelligence’s ability to analyze interviews and identify childhood cancer survivors needing extra support.

Sepsis complicated by acute respiratory failure is a severe condition among patients admitted to the intensive care unit (ICU). Researchers have developed and externally validated a machine learning model to predict the 28-day mortality risk in such ICU patients with sepsis. Using routinely collected clinical variables from the first 24 hours after admission, the model demonstrated stable predictive performance in large critical care databases, with potential value for early risk stratification and individualized treatment decision-making.

Idaho teachers leaned into artificial intelligence with a mix of curiosity and caution during a recent professional development session hosted by Idaho National Laboratory.