Researchers Leverage AI To Identify Sepsis Within 12 Hours
Each year, according to the Centers for Disease Control and Prevention, at least 1.7 million adults in the U.S. develop the condition. Sepsis, the body’s exaggerated response to infection, can cause widespread inflammation and organ failure. Identifying patients most at risk has relied on a clinician’s own discretion and experience treating sepsis.
However, Researchers at the University of Florida have created and are using a diagnostic tool that leverages artificial intelligence to identify a patient’s likelihood of developing sepsis — and how severe it will be — as soon as 12 hours after their hospital admission.
The research, published on Tuesday in JAMA Network Open, evaluates and describes the tool that relies on an algorithm that helps practitioners quickly discern which patients are most at risk.
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