AI could predict strokes before they happen in High-Risk heart patients
NCT ID NCT07441759
First seen Mar 04, 2026 · Last updated May 13, 2026 · Updated 7 times
Summary
This study aims to develop and test an artificial intelligence (AI) model to better predict the risk of stroke, heart attack, and other serious heart-related events in people with atrial fibrillation (an irregular heartbeat). Researchers will use electronic health records from 1,000 high-risk adults aged 65-95 to see if the AI model outperforms the current standard risk score. The goal is to enable earlier detection and personalized treatment, potentially reducing hospitalizations and deaths.
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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EAP Tortose est. Servei d'Atencio Primaria i Comunitària. Institut Catala de la Salit
Tortosa, Tarragona, 43500, Spain
Contact
Contact
Contact Phone: •••-•••-•••• Email: •••••@•••••
Contact Phone: •••-•••-•••• Email: •••••@•••••
Conditions
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