AI may forecast stroke outcomes and guide recovery

NCT ID NCT06710028

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 This study
Running, but no longer taking on new participants.
Completed
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Sep 02, 2026 · Last updated Sep 03, 2026 · Updated 1 time

Summary

This study tests whether artificial intelligence can accurately predict how patients recover after an ischemic stroke. Researchers will enroll 1000 adults from three European hospitals and use standard hospital data plus remote monitoring via a mobile app to train AI models. The goal is to see if these models can forecast disability levels at discharge and up to a year later, which could help personalize care and prevent future strokes.

What this could mean

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

Active substance
NORA app for remote patient monitoring after hospital discharge
What this could lead to
If the AI models prove accurate, doctors could better predict stroke recovery, personalize treatment, and use remote monitoring to improve adherence and prevent recurrent strokes.
What could go wrong
This is an observational study, so it won't prove the AI improves outcomes. The models may not perform well across different hospitals or patient groups, and the NORA app's benefit depends on patient engagement.

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

About 1,000 people

The number the study aims to enrol. It can still change while the study runs.

Started

Dec 2024

Expected to finish

Dec 2026

An estimate. End dates often move.

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

All consecutive ischemic stroke patients admitted to the participating sites, who are older than 18 and who signed the informed consent (either signed by the patient himself or a next of kin).

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: 1. Subject is 18 years of age or older 2. Diagnosis of acute ischemic stroke 3. Signature of the informed consent form by the patient or a next of kin Exclusion Criteria: * No exclusion criteria are contemplated for this study.

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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

  • Fondazione Policlinico Universitario A. Gemelli IRCCS, UOC Neurologia

    Rome, Lazio, 00168, Italy

  • Hospital Vall D'Hebron- Institut de Recerca (Vhir)

    Barcelona, 08035, Spain

  • KATHOLIEKE UNIVERSITEIT LEUVEN (KU Leuven)

    Leuven, 3000, Belgium

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