AI eye on vital signs could foresee cardiac arrest
NCT ID NCT07742943
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 have a cardiac arrest within the next 24 hours. The software analyzes routine vital signs like blood pressure, heart rate, and breathing rate from electronic health records. Researchers will compare the AI's risk scores against actual cardiac arrest events in a large group of adult patients. If it works, this tool could give doctors an early warning to intervene and potentially prevent cardiac arrest.
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 cardiac arrest risk
- What this could lead to
- If successful, this AI tool could help hospital staff identify patients at risk of cardiac arrest earlier, potentially saving lives by enabling timely intervention.
- What could go wrong
- This is a retrospective study using existing data, and the AI's performance may not match real-world conditions. It also relies on vital signs alone, which may not capture all risk factors.
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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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Other studies related to the condition(s) this trial covers.
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