AI could forecast stroke outcomes in real time

NCT ID NCT05622539

What the study statuses mean

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Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed This study
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Aug 25, 2026 · Last updated Aug 26, 2026 · Updated 1 time

Summary

This trial is testing whether an artificial intelligence (AI) tool can accurately predict how patients with acute ischemic stroke will recover. The AI analyzes patient data in real time to forecast outcomes, such as functional disability, which is then compared with the actual outcome after three months. The study involves 289 adults admitted to the emergency room with acute stroke, who receive standard care while the AI's predictions are evaluated. The goal is to see if this AI can support doctors in making better treatment decisions.

What this could mean

Our plain-language read of the trial. This is informational only, not medical advice or a prediction.

Active substance
AI-based clinical decision support system for predicting stroke outcomes
What this could lead to
If successful, this AI tool could help doctors make faster, more personalized treatment decisions for acute stroke patients, potentially improving recovery outcomes.
What could go wrong
The AI predictions may not be accurate enough in real-world settings, and the trial is observational, so it won't directly test whether using the AI improves patient outcomes.

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

Study facts

What this study's own registry entry says, in plain language.

Participants

289 people

The number who actually took part.

Started

Jul 2024

Finished

Feb 2026

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Who is studied

Consecutive acute ischemic stroke patients admitted to 3 comprehensive stroke centres during 1.5 years of recruitment

Ages

18 years and older

Sex

Anyone

Healthy volunteers

Not accepted

This study is not open to healthy volunteers. The entry requirements below say who it is open to.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: * Subject is 18 years of age or older, or of legal age to give informed consent per state or national law * Informed consent for the use of data, obtained from patient or his or her legally designated representative (if locally required) Exclusion Criteria: * Neuroimaging (CT/MRI) with signs of acute intracranial haemorrhage * Serious, advanced, or terminal illness with anticipated life expectancy of less than 3 months * Unlikely to be available for 90-day follow-up (e.g., no fixed home address, no telephone, etc.)

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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

  • Hadassah Medical Center

    Jerusalem, Israel

  • Hospital Vall d'Hebron - VHIR

    Barcelona, Catalonia, 08035, Spain

  • Universität Heidelberg

    Heidelberg, Germany

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