AI could spot hidden stroke risk in heart patients before it strikes
NCT ID NCT07441759
First seen Mar 04, 2026 · Last updated May 23, 2026 · Updated 8 times
Summary
This study aims to develop and test an artificial intelligence (AI) model that can better predict the risk of stroke and other major heart problems in people with atrial fibrillation (an irregular heartbeat). Researchers will use data from 1,000 adults aged 65-95 who are at high risk but have not yet been diagnosed with atrial fibrillation. The goal is to see if the AI tool can catch risks earlier than current methods, potentially preventing serious events and reducing healthcare costs.
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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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