Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...
Johns Hopkins engineer Suchi Saria has developed an AI-powered platform that is reducing sepsis mortality rates by 18% in dozens of hospitals across the United States—a significant advance in ...
Sepsis is a deadly reaction to infection, one that can cause runaway inflammation and a cascade of organ damage. It is estimated to kill at least 350,000 Americans per year. Early detection of this ...
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AI Predicts Sepsis Risks Hours Faster Than Doctors
At the emergency room of Johns Hopkins Hospital in the U.S., doctors carefully monitor alert windows that appear on their monitors when treating patients. It is an artificial intelligence, AI, called ...
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