Johns Hopkins Physicians and Engineers Develop Search for AI Program That Accurately Predicts Risk of ‘ICU Delirium’

More than one-third of all people admitted to the hospital, and as many as 80% of all patients in an intensive care unit (ICU), develop delirium, a type of brain dysfunction marked by sudden bouts of confusion, inattention, paranoia, or even agitation and hallucinations. An intensivist at Johns Hopkins Medicine, in collaboration with Johns Hopkins University engineering students, report they have developed artificial intelligence (AI) algorithms that can detect the early warning signs of delirium and can predict — at any time during an ICU stay — a high risk of delirium for a significant number of patients.

Study: Critical Care Improvements May Differ Depending on Hospital’s Patient Population

A new study led by researchers at Beth Israel Deaconess Medical Center reveals that while critical care outcomes in ICUs steadily improved over a decade at hospitals with few minority patients, ICUs with a more diverse patient population did not progress comparably.