AI-powered ECG interpretation to detect heart failure in older primary care patients
Official title: Determining Efficacy of an Artificial Intelligence-based System for Heart Failure Detection Through Interpretation of Electrocardiograms: a Pragmatic Randomized Clinical Trial (DECISION)
Run by Idoven 1903 S.L. · NCT07113223 · Data updated 2026-11-12
This trial tests whether the AI tool Willem™ helps primary care doctors detect heart failure from ECGs in people aged 65 and older who have symptoms or are at high cardiovascular risk.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 65 Years and up |
| Sex | All |
| Enrollment | 1968 (estimated) |
| Sponsor | Idoven 1903 S.L. Industry-sponsored |
| Locations | 5 sites (Madrid and 4 other locations) |
| Status | Recruiting |
| Started | July 23, 2025 |
| Main results expected | March 2027 |
| Study ends | May 2027 |
| Registry record updated | November 4, 2026 |
| Trial ID | NCT07113223 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates are patients aged 65 or older presenting to participating primary care centers who either have symptoms suggestive of heart failure or have high cardiovascular risk and can provide informed consent.
✕Probably not a fit
Patients younger than 65, those with an existing confirmed diagnosis of heart failure, or those unable to attend participating centers or provide consent are unlikely to benefit from participation.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This multicenter, pragmatic, randomized trial compares AI-assisted ECG interpretation using the Willem™ platform to standard ECG evaluation in primary care settings. Primary care centers are randomized to provide either the AI output to clinicians or usual ECG interpretation, with diagnostic confirmation by echocardiography and clinical follow-up. The primary analysis will compare sensitivity, specificity, and predictive values for heart failure detection, and secondary analyses will examine healthcare resource use, clinical outcomes, and provider usability feedback. The trial enrolls patients aged 65 and older who present with suspected heart failure or who are at elevated cardiovascular risk.
Why it matters
Potential benefit: If successful, it could enable earlier and more accurate heart failure diagnosis in primary care, leading to timelier treatment and fewer hospitalizations.
How similar studies have gone: Prior studies have shown AI can detect reduced ejection fraction and other cardiac abnormalities from ECGs with good accuracy, but randomized evidence showing improved clinical outcomes in routine primary care remains limited.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Patients with Suspected HF (Group S): * Able to understand and accept the study constraints and to provide informed consent (either themselves or a legal representative). * Age over 65 years (i.e., 65 included). * Presence of symptoms and/or signs typical of Heart Failure (defined by the European Society of Cardiology, ESC), including breathlessness (during activity or at rest, lying down, waking up at night needing to catch their breath), fatigue, swollen ankles/legs, and/or palpitations. * Patients at Risk of Heart Failure due to the presence of cardiovascular (Group R): * Able to understand and accept the study constraints and to provide informed consent (either themselves or a legal representative). * Age over 65 years (i.e., 65 included). * Absence of symptoms and/or signs typical of Heart Failure (defined by the ESC), including breathlessness (during activity or at rest, lying down, waking up at night needing to catch their breath), fatigue, swollen ankles/legs, and/or palpitations. * Presence of at least 1 ACC/AHA Heart Failure risk factor, including hypertension, cardiovascular disease (atrial fibrillation, coronary heart disease or stroke), diabetes, obesity, exposure to cardiotoxic agents, genetic variant for cardiomyopathy, or family history of cardiomyopathy that requires an ECG test for any reason in a primary care center or with an indication of a regular health examination where an ECG is included. Exclusion Criteria: * Unwillingness or inability to sign the written informed consent. * Previous Heart Failure diagnosis. * Unavailability or suboptimal quality ECG.
Where it's running
-
Hospital General Universitario Gregorio Marañón
Madrid, Spain Recruiting -
Hospital Universitario 12 de Octubre
Madrid, Spain Recruiting -
Primary Care: Gerencia Asistencial Atención Primaria Madrid
Madrid, Spain Recruiting -
Hospital Universitario Marqués de Valdecilla
Santander, Spain Recruiting -
Region Stockholm
Stockholm, Sweden Recruiting
Study contacts
- Study coordinator: Juan Francisco Delgado Jiménez, MD, PhD
- Email: juan.delgado@salud.madrid.org
- Phone: +34917792640
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.