Study says sepsis risk can be successfully predicted by AI surveillance tool
A recent study reveals the effectiveness of an artificial intelligence (AI) model, called COMPOSER, in swiftly identifying patients at risk of sepsis infection. The study, conducted at the University of California (UC) San Diego School of Medicine, showed that the AI algorithm led to a 17 per cent reduction in mortality.
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