AI steps in to predict deadly heart rhythms
NCT ID NCT07257289
Summary
This study aims to use artificial intelligence (AI) to better predict which patients with inherited heart diseases are at high risk for dangerous heart rhythms or heart failure. Researchers will analyze various health data—like heart tests, genetics, and blood markers—from up to 1,000 participants over 10 years. The goal is to create a tool that helps doctors decide who truly needs a preventive heart device, avoiding unnecessary procedures for others.
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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Contacts and locations
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Study contacts
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Contact
Email: •••••@•••••
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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CHU de Bordeaux
Bordeaux, France
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CHU de Brest
Brest, France
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CHU de Clermont-Ferrand
Clermont-Ferrand, France
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CHU de Dijon
Dijon, France
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CHU de La Rochelle
La Rochelle, France
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CHU de Limoges
Limoges, France
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CHU de Montpellier
Montpellier, France
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CHU de Nantes
Nantes, 44093, France
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CHU de Poitiers
Poitiers, France
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CHU de Rennes
Rennes, France
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CHU de Strasbourg
Strasbourg, France
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CHU de Toulouse
Toulouse, France
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CHU de Tours
Tours, France
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CHU de la Martinique
Fort-de-France, Martinique
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CHU de la Réunion
Saint-Pierre, Reunion
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Conditions
Explore the condition pages connected to this study.