AI crystal ball for hospital wards: can software forecast oxygen drops 24 hours early?
NCT ID NCT07742813
First seen Aug 03, 2026 · Last updated Aug 04, 2026 · Updated 1 time
Summary
This trial tests whether an AI software called Vital-PICASO can predict if a hospital patient will develop hypoxia—dangerously low blood oxygen—within the next 24 hours. Using vital signs like heart rate, blood pressure, and oxygen levels from 2,250 adult patients, the software generates a risk score. Researchers compare these scores against actual hypoxia events to see if the AI is accurate enough to serve as an early warning system in general wards.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- Vital-PICASO, an AI-based software that analyzes vital signs to predict hypoxia risk
- What this could lead to
- If it works, this AI tool could give hospital staff an early warning system, helping them spot patients at risk of low oxygen levels a day in advance and potentially preventing emergencies.
- What could go wrong
- This is a retrospective study using existing medical records, not a live test, so real-world performance may differ. The software's predictions are compared against a set threshold, and it may not work equally well for all patients or hospital settings.
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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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Seoul National University Hospital
Seoul, South Korea
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