AI and blood tests aim to predict brain damage before it happens

NCT ID NCT06069973

Recruiting now Diagnosis Sponsor: Sahlgrenska University Hospital Source: ClinicalTrials.gov ↗

First seen Jun 26, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study is testing whether machine learning and special brain injury markers in blood and spinal fluid can warn doctors early when a patient with a brain bleed is developing delayed cerebral ischemia (lack of oxygen to the brain). Researchers will monitor 1,500 adults in intensive care using heart rate, brain waves, and oxygen sensors. The goal is to build an early warning system that could help prevent lasting brain injury.

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 create an early warning system to detect brain oxygen deprivation sooner, potentially reducing brain damage and improving recovery after bleeding in the brain.
What could go wrong: This is an observational study, not a treatment trial. The machine learning model may not be accurate enough in real-world settings, and the results may not apply to all patients.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

acquired aneurysmal subarachnoid hemorrhage hemorrhagic stroke ischemic stroke

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

HEMORRHAGIC STROKE ISCHEMIC STROKE

Contacts and locations

Locations

Sahlgrenska University Hospital
RECRUITING

Gothenburg, 41345, Sweden

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