AI predicts ICU dangers from old records
NCT ID NCT07317817
First seen Jan 10, 2026 · Last updated Jun 13, 2026 · Updated 23 times
Summary
This study looked at anonymous medical records from over 55,000 past ICU patients to find patterns that could help predict three life-threatening conditions: sepsis (body-wide infection), ARDS (severe lung injury), and acute kidney injury. Researchers used computer models to analyze data like vital signs and lab results from the first 24 hours in the ICU. No new treatments were tested, and no patients were contacted. The goal is to help doctors identify high-risk patients earlier.
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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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Locations
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Chongqing Medical University
Chongqing, Chongqing Municipality, 400016, China
Conditions
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