Researchers use AI to create diagnostic criteria for blood poisoning
Published: Thursday, Jan 25th 2024, 10:30
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With the help of artificial intelligence (AI), an international research team has defined new criteria for the diagnosis of blood poisoning. This could improve the early detection of this dangerous disease, as the University Children's Hospital Zurich announced on Thursday.
According to the Children's Hospital, evidence-based criteria for the diagnosis of sepsis, as blood poisoning is technically known, in children have been lacking until now. This is despite the fact that around 3 million children worldwide die from sepsis every year and every third child who survives sepsis sometimes suffers from severe long-term consequences.
The international research team, co-led by Luregn Schlapbach from the University Children's Hospital Zurich, used artificial intelligence to analyze data from over 3.5 million children suffering from sepsis. From this, they derived criteria for diagnosing sepsis in children. The study was published in the specialist journal "Jama".
The researchers used the data to develop the "Phoenix Sepsis Score", which quickly and reliably assesses the severity of organ failure in children with sepsis, according to the University Children's Hospital Zurich. This multi-year project also used data from developing countries in South America, Africa and Asia for the first time. The new criteria could therefore be used in small and large hospitals, as well as in different healthcare systems worldwide.
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