Delayed sepsis detection increases mortality risk. How can #MedicalAI assist us here?

In the #AMPEL project, we extensively researched this over years using multicenter data from Germany and the USA. The results of our #OpenSource #AI basic model, based only on few parameters of the complete #BloodCount (CBC), exceeded expectations:

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#Sepsis #SepsisAwareness #DeutschlandErkenntSepsis #GemeinsamGegenSepsis #GetAheadOfSepsis

🚨 Today we published our #OpenSource AI model for the early detection of sepsis in the world's leading journal of laboratory medicine!🚨

Discovering sepsis patients sooner (=saving lives) is now possible with just a bit of routine lab data

Article:
https://doi.org/10.1093/clinchem/hvae001

Press release of the University Hospital Leipzig [German]:
https://www.uniklinikum-leipzig.de/presse/Seiten/Pressemitteilung_7850.aspx

Press release [English]:
https://www.uniklinikum-leipzig.de/einrichtungen/ampel/en/Pages/sepsis_press_release.aspx

#Sepsis #SepsisAwareness #DeutschlandErkenntSepsis #GemeinsamGegenSepsis #GetAheadOfSepsis