A machine-learning algorithm has the capability to identify hospitalized patients at risk for severe sepsis and septic shock using data from electronic health records (EHRs), according to a study ...

Geisinger and IBM this week announced this week that they've co-created a new predictive model to help clinicians flag sepsis risk using data from the integrated health system's electronic health ...

CHICAGO, July 31, 2024 /PRNewswire/ -- Exciting research at the frontier of artificial intelligence and data science in laboratory medicine was presented today at ADLM 2024 (formerly the AACC Annual ...

Twenty percent of deaths worldwide are caused by sepsis, and there are currently no treatments that tackle it directly. Now, researchers at the University of British Columbia demonstrate how systems ...

Sepsis is an overwhelming infection: bacterial, viral, or fungal. It requires immediate medical attention and intervention. EPIC, the company with the largest share of the electronic medical records ...