AI tool aims to outsmart deadly superbugs in emergency rooms
NCT ID NCT07167173
Summary
This study aims to create a computer model that predicts which sepsis patients have antibiotic-resistant infections. Researchers will analyze data from 10,000 adult patients with sepsis at a Buenos Aires hospital to identify patterns and risk factors. The goal is to help emergency doctors choose the most effective antibiotics faster, potentially saving lives and slowing antibiotic resistance.
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