AI-Powered ECG could catch hidden heart disease early
NCT ID NCT06978660
First seen Jun 27, 2026 · Last updated Jul 21, 2026 · Updated 2 times
Summary
This study is testing a cloud-based AI platform called Willem that analyzes electrocardiogram (ECG) data to detect Transthyretin cardiac amyloidosis (ATTR-CA), a rare and serious heart condition. Researchers will compare ECGs from 2000 adults—some with confirmed ATTR-CA and some without—to see how accurately the AI can tell them apart. The goal is to improve early diagnosis, which can lead to better treatment outcomes.
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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
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Centre Hospitalier Universitaire de Toulouse
RECRUITINGToulouse, 31300, France
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Hospital Universitario Donostia
COMPLETEDSan Sebastián, Guipúzcoa, 20014, Spain
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Hospital Universitario Juan Ramón Jiménez
COMPLETEDHuelva, Huelva, 21005, Spain
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Hospital Universitario Son Llàtzer
RECRUITINGPalma de Mallorca, Balearic Islands, 07198, Spain
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Northwestern University
COMPLETEDEvanston, Illinois, 60208, United States
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Queen Elizabeth University Hospital, Univeisity of Glasgow
RECRUITINGGlasgow, G51 4TF, United Kingdom
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TUM Klinikum Deutsches Herzzentrum
NOT_YET_RECRUITINGMünchen, 80636, Germany
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Universitätsklinikum Bonn
COMPLETEDBonn, 53127, Germany
More trials for these conditions
Other studies related to the condition(s) this trial covers.
- New heart scan could speed up amyloidosis diagnosis
- AI spots heart clues in bone scans: a new way to catch a silent killer?
- New PET tracer could spot hidden heart scarring in rare amyloidosis
- New PET scan could spot hidden heart disease
- Heart rehab hope for rare amyloidosis patients
- Home workouts and shakes aim to boost strength in heart disease patients