AI could predict strokes before they happen in heart patients

NCT ID NCT07441759

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study will test whether an artificial intelligence (AI) tool can better predict stroke risk in 1,000 people aged 65-95 with atrial fibrillation, compared to current methods. The AI analyzes health records and heart data to identify high-risk individuals early. The goal is to prevent strokes and heart attacks by guiding earlier treatment.

What this could mean

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

Active substance
AI-driven risk prediction model (MATHIAS strategy)
What this could lead to
If successful, this could lead to a more accurate way to predict stroke risk in people with atrial fibrillation, potentially preventing strokes and saving healthcare costs.
What could go wrong
This is a model-based evaluation, not a clinical trial testing a treatment. The AI tool may not work as well in real-world settings, and the study hasn't started recruiting yet.

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

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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

  • EAP Tortose est. Servei d'Atencio Primaria i Comunitària. Institut Catala de la Salit

    Tortosa, Tarragona, 43500, Spain

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