Skip to main content
OpenTrials
Recruiting

NCT Number: NCT07479992

Multicenter Study for the Validation of Willem AI: Aortic StenoSis Early Diagnosis With AI-electrocardiogram Study

AoS-SEDAI study is an observational, multicenter, retrospective and prospective clinical study.

This study aims to assess Willem Artificial Intelligence (AI) ability to distinguish between aortic stenosis (AS) and non-AS patients from 12-lead electrocardiogram (ECG) data.

Recruiting

Interested in participating?

Request Info

Key information

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Universitätsklinikum Bonn, Bonn, Germany

Loading trial locations.

About this study

Aortic Stenosis (AS) is a common and progressive valvular heart disease, especially in older adults, yet significantly underdiagnosed. Many individuals with significant AS may remain asymptomatic for extended periods or experience vague symptoms, delaying diagnosis for several years. In some cases, sudden cardiac events or decompensation may be the first indication of advanced AS, particularly in those who have not undergone regular cardiovascular evaluation.

The primary method for diagnosing AS is echocardiography, which allows visualization of valve anatomy and assessment of transvalvular gradients. However, reliance on symptom reporting or late-stage signs, that trigger a provider to order an echo, can result in missed opportunities for earlier detection. Additionally, electrocardiographic changes-such as left ventricular hypertrophy or strain patterns-can often be detected before structural abnormalities are visible on imaging studies. This delay between electrical changes evolution and later structural findings creates a valuable opportunity to intervene sooner, for example with a valve replacement. This diagnostic latency highlights a critical window where early identification through Artificial Intelligence (AI) analysis of electrocardiograms (ECGs) and timely referral to cardiology can significantly alter disease trajectory and improve outcomes, especially in primary care and community health settings.

AoS-SEDAI study is an observational, retrospective and prospective, multicenter clinical study. Even though controls will be distinguished from AS patients for ground truth and performance evaluation, this is a single-arm study since there are no differences in study interventions.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Age ≥ 18 years;
  • All available 12-lead ECG with a 10 seconds minimum length on raw data digital format will be included
  • Available clinical data corresponding to each ECG to confirm patient demographics and Aortic Stenosis diagnosis
  • Available transthoracic echocardiogram (TTE) within +/- 90 days of each ECG recording

No exclusion criteria are defined for this study.

Treatment and study plan

Willem AI ECG assessment

Device

There is no study intervention. The Willem AI platform will assess all study electrocardiograms (ECGs) for the identification of aortic stenosis. Regardless of retrospective or prospective enrollment, Willem output will not be provided to the healthcare professional user for clinical evaluation, and therefore routine practice will not be impacted nor altered.

Primary outcomes

  1. Willem performance to detect severe Aortic Stenosis

    Time frame: ECG will be performed at baseline, and ECG analysis by Willem AI will be performed retrospectively throughout the trial, and finalized upon recruitment completion.

    Performance of Willem AI platform to distinguish between severe Aortic Stenosis (AS) patients with confirmed diagnosis and non-AS patients, by means of the following performance metrics: Area Under the Receiver Operating Characteristic curve (AUROC), diagnostic accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV).

    The Standard Of Care (SOC) investigator diagnosis will be used as the ground truth.

Secondary outcomes

  1. Willem performance to detect moderate Aortic Stenosis

    Time frame: ECG will be performed at baseline, and ECG analysis by Willem AI will be performed retrospectively throughout the trial, and finalized upon recruitment completion.

    Performance of Willem AI platform to distinguish between moderate Aortic Stenosis (AS) patients with confirmed diagnosis and non-AS patients, by means of the following performance metrics: Area Under the Receiver Operating Characteristic curve (AUROC), diagnostic accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). The Standard Of Care (SOC) investigator diagnosis will be used as the ground truth.

Study contacts

Contact information is provided by the study sponsor or research team.

Manuel Marina-Breysse, MD, PhD

CONTACT

[email protected]

+34669752391

Sponsors and collaborators

Lead sponsor

Idoven 1903 S.L.

Industry

Registry information

Official study title

Multicenter Study for the Validation of Willem AI: Aortic StenoSis Early Diagnosis With AI-electrocardiogram (Willem AoS-SEDAI) Study

Acronym: AoS-SEDAI

Important dates

Study start
2026
Primary completion
2026
Study completion
2026
First posted
Mar 18, 2026
Registry last updated
Jul 20, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

Published trials that share one or more normalized conditions with this study.