AI may forecast stroke outcomes and guide recovery
NCT ID NCT06710028
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
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About 1,000 people
The number the study aims to enrol. It can still change while the study runs.
- Started
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Dec 2024
- Expected to finish
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Dec 2026
An estimate. End dates often move.
- Lead sponsor
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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
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18 years and older
- Sex
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Anyone
- Healthy volunteers
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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 Hide 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
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Fondazione Policlinico Universitario A. Gemelli IRCCS, UOC Neurologia
Rome, Lazio, 00168, Italy
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Hospital Vall D'Hebron- Institut de Recerca (Vhir)
Barcelona, 08035, Spain
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KATHOLIEKE UNIVERSITEIT LEUVEN (KU Leuven)
Leuven, 3000, Belgium
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Other studies related to the condition(s) this trial covers.
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- Pilot study on the effects induced by an electromyographic-controlled functional electrical stimulator (FitFES) for upper limb rehabilitation in post-stroke patients
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