AI could spot sepsis earlier from routine hospital data
NCT ID NCT05383963
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study looks at using a computer algorithm to quickly diagnose sepsis and septic shock from routine hospital data. Researchers will analyze information from 10,000 ICU patients to see if the algorithm can speed up diagnosis and improve patient outcomes. The goal is to help doctors identify sepsis earlier without extra tests.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
What this could lead to
If successful, this could lead to a faster, more accurate way to diagnose sepsis using data already collected in hospitals, potentially saving lives.
What could go wrong
This is an observational study, not a treatment trial. The algorithm may not work as well in real-world settings or may not improve outcomes as hoped.
Disclaimer
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Department of Anesthesiology and Operative Intensive Care Medicine CCM/CVK, Charité - Universitätsmedizin Berlin
RECRUITINGBerlin, 13353, Germany
Contact
Contact
Contact Phone: •••-•••-•••• Email: •••••@•••••
Contact
Contact
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