Health Systems Look to AI to Prevent Sepsis Deaths

“With the risk-prediction algorithm, the hope is to identify people six to 12 hours before clinical determination happens.” Sepsis kills one in five people annually worldwide, and it can be very difficult to detect. That’s why major health systems like Geisinger and the Cleveland Clinic are turning to machine learning to detect and treat sepsis early. This article from the Wall Street Journal explains how this game changing technology is being used to save lives.

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