Optimizing sepsis treatment timing with a machine learning model

A new machine learning model that estimates optimal treatment timing for sepsis could pave the way for support tools that help physicians personalize treatment decisions at the patient bedside, researchers say. The model, which uses artificial intelligence to take on the complex question of when to administer antibiotics to patients with a suspected case of sepsis, was designed to take into account uncertainties and time pressures.
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