Researchers want to detect blood poisoning earlier using AI

With the help of artificial intelligence (AI) a research team at the University Children's Hospital in Zurich has defined new criteria for the diagnosis of blood poisoning. This could improve the early detection of this dangerous disease.

A hospital room in Zurich children's hospital

According to a statement from the Children's Hospital, there have been no evidence-based criteria for the diagnosis of sepsis, as blood poisoning is technically known, in children until now. This is despite the fact that around three million children worldwide die from sepsis every year. Additionally, one in three survivors suffers from severe long-term consequences.

The international research team led by Luregn Schlapbach used AI to analyze data from over 3.5 million children suffering from sepsis. From this, they derived criteria for diagnosing sepsis in children.

The research team used the data to develop a score that quickly and reliably assesses the severity of organ failure in children with sepsis. The multi-year project also used data from various developing countries. The new criteria could therefore be used in hospitals and healthcare systems around the world.

Written by: sda

Photos: Keystone

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