Plain-English translation of NCT06710028 on ClinicalTrials.gov ↗ · Source last updated · Translation generated · How we translate trials
This study is testing artificial intelligence (AI) tools designed to predict how well stroke patients will recover in the short and long term. Researchers will collect information from your hospital care and follow-up visits to teach AI models to make better predictions about stroke outcomes. The goal is to help doctors personalize your stroke treatment and help you stay on track with prevention medications after you leave the hospital.
Stroke is one of the leading causes of disability worldwide, and many patients don't stick with their prevention medications after discharge. This treatment aims to solve this problem by using AI to better predict recovery, guide treatment decisions, and help patients understand why their medications matter—ultimately reducing the chance of having another stroke.
You likely qualify if…
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You will be followed during your hospital stay and after you go home for up to 12 months. Your hospital medical records and recovery information will be collected as part of your normal care. You will also be asked to use a mobile app called NORA to share information about your recovery at home. Researchers will use this information—along with data from other stroke patients at three European hospitals—to train and test AI prediction tools.
AI-generated summary from trial data · Jul 22, 2026 · Not medical advice
Belgium
Italy
Spain
Fondazione Policlinico Universitario Agostino Gemelli IRCCS
Enrollment target
~1,000 participants
Started
December 2024
Primary completion
November 2026
Age range
18 Years and older
Last updated on clinicaltrials.gov in February 2025.
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Central contact
Pietro Caliandro
Fondazione Policlinico Universitario Agostino Gemelli IRCCS
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