These are independent reviews of the products mentioned, but TIME receives a commission when purchases are made through affiliate links at no additional cost to the purchaser.
Every hour treatment for sepsis is delayed, the risk of the patient dying increases by as much as 8%, making the systemic infection a leading cause of death in hospitals. But sepsis is hard to diagnose because its symptoms (such as fever) are so common in hospital patients. The Targeted Real-Time Early Warning System–developed by researchers at Johns Hopkins University and Bayesian Health–uses AI to analyze a patient’s medical records, symptoms, and lab results, alerting a clinician to probable sepsis cases. “The typical early-alert systems run at about 20% to 30% sensitivity,” says Suchi Saria, founder and CEO of Bayesian Health. “Our system was able to catch 82%.”
More Must-Reads from TIME
- Inside Elon Musk’s War on Washington
- Why Do More Young Adults Have Cancer?
- Colman Domingo Leads With Radical Love
- 11 New Books to Read in February
- How to Get Better at Doing Things Alone
- Cecily Strong on Goober the Clown
- Column: The Rise of America’s Broligarchy
- Introducing the 2025 Closers