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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