New AI model could spot shock causes faster in ICU
NCT ID NCT07256886
First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study will test a computer model called iCVS that uses blood pressure readings to help doctors figure out why a patient is in shock. Researchers will look at data from 1,150 adults in the ICU. The goal is to see if the model can detect early warning signs and correctly classify the type of shock.
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 model could give ICU doctors a faster, more accurate way to diagnose the cause of shock, potentially leading to quicker treatments.
- What could go wrong
- This is a retrospective study using existing data, not a live test. The model may not work as well in real-time or in all patient groups.
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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.
More trials for these conditions
Other studies related to the condition(s) this trial covers.
- A new device aims to track the heart's pumping power in the ICU — without invasive tubes
- New pressure test may help doctors give right fluids in shock
- Non-invasive heart monitor tested against standard method in shock patients
- Stool sample may predict survival in ICU patients
- Can a smartphone app and smart blood pressure cuff save heart shock patients?
- Could a vitamin B12 derivative help treat shock?