AI-Powered ECG reading aims to catch heart failure sooner

NCT ID NCT07113223

Recruiting now Diagnosis Sponsor: Idoven 1903 S.L. Source: ClinicalTrials.gov ↗

First seen Jun 25, 2026 · Last updated Jul 21, 2026 · Updated 3 times

Summary

This study tests whether an artificial intelligence system called Willem™ can help primary care doctors detect heart failure more accurately by analyzing electrocardiograms (ECGs). About 1,968 adults with suspected heart failure or high cardiovascular risk will be randomly assigned to get either AI-assisted or standard ECG interpretation. The goal is to see if AI improves diagnosis and reduces unnecessary tests.

What this could mean

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

Active substance: Willem™ platform (AI-assisted ECG analysis device)
What this could lead to: If successful, this could make heart failure detection faster and more accurate in primary care, potentially leading to earlier treatment and better patient outcomes.
What could go wrong: This is a pragmatic trial, but AI tools may not work equally well in all settings or populations. The study is still recruiting, and results are not yet available.

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.

heart failure

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

CARDIOVASCULAR RISK FACTORS HEART FAILURE

Contacts and locations

Locations

Hospital General Universitario Gregorio Marañón
RECRUITING

Madrid, Spain
Hospital Universitario 12 de Octubre
RECRUITING

Madrid, Spain
Hospital Universitario Marqués de Valdecilla
RECRUITING

Santander, Spain
Primary Care: Gerencia Asistencial Atención Primaria Madrid
RECRUITING

Madrid, Spain
Region Stockholm
RECRUITING

Stockholm, Sweden

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