sepsis expert
AI Can Predict Sepsis to Save Lives
This bot sees what doctors sometimes cannot. Emory University researchers have created a "Sepsis Expert" algorithm that works in real time to predict the onset of sepsis, the deadly condition that often takes hold in healthcare settings. Banking on information from 31,000 patients admitted to 2 hospitals and data on 52,000 intensive care unit (ICU) patients from a public database, the researchers used machine learning to build an artificial intelligence (AI) technology that they hope will save lives. But, until now, that knowledge has not translated to insights for the individual. "What we lack is'situation awareness,' which is perceiving data, comprehending data, and projecting those data into the future to see whether there is an evolving threat to the patient," says Timothy George Buchman, PhD, MD, director of Emory's critical care center and co-author of a study on the tech.