AI crystal ball: can machine learning forecast stroke recovery?
NCT ID NCT07750015
First seen Aug 06, 2026 · Last updated Aug 07, 2026 · Updated 1 time
Summary
This study is developing and testing computer models, called FORECAST-PC, to predict how well people will recover 90 days after a stroke caused by a blockage in the back of the brain. The models use information from when a patient arrives at the hospital and 24 hours later to estimate their chances of a good or poor outcome. The goal is to give doctors a better tool to guide treatment decisions and set realistic expectations for patients and their families.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- Machine learning prediction models (FORECAST-PC)
- What this could lead to
- If successful, this could give doctors a reliable tool to predict recovery after stroke treatment, helping guide care decisions and set realistic expectations for patients and families.
- What could go wrong
- The models are new and need validation in different patient groups. They may not be accurate for everyone, and the study does not test a treatment, so it cannot directly improve outcomes.
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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
-
Centre Hospitalier Universitaire Vaudois
Lausanne, 1010, Switzerland
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