Brain vs. machine: who predicts stroke outcomes better?
NCT ID NCT06534645
First seen Jun 26, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study compares how well stroke neurologists and a deep learning AI model predict recovery in 250 stroke patients. Researchers will track actual disability at 24 hours and 3 months, then compare those results to predictions made by doctors and the AI. The goal is to understand what factors matter most and build a better prediction tool for clinical use.
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 lead to a reliable AI tool that helps doctors predict stroke recovery more accurately, improving patient care.
- What could go wrong
- This is an early observational study, not testing a treatment. The AI model may not perform better than doctors, and results may not apply to all stroke patients.
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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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University Hospital Zurich, Department of Neurology
RECRUITINGZurich, 8091, Switzerland
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Other studies related to the condition(s) this trial covers.
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