AI model aims to predict ICU deaths from superbug blood infections
NCT ID NCT06167083
First seen Jun 26, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study looked at 197 ICU patients with bloodstream infections caused by carbapenem-resistant bacteria (superbugs). Researchers used machine learning to analyze patient data and predict which patients were at higher risk of dying. The goal is to create a tool that helps doctors act faster for the sickest patients.
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 tool that helps doctors identify high-risk patients earlier, potentially improving care in the ICU.
- What could go wrong
- This is a small, retrospective study from a single hospital, so the model may not work well in other settings. It is not a treatment and does not directly help patients.
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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
Locations
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Kocaeli University
Kocaeli, Turkey (Türkiye)
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Other studies related to the condition(s) this trial covers.