N
← Back to Search
Sponsored

Accelerate Your Clinical Trial Recruitment

Reach thousands of high-intent patients matching your specific inclusion criteria.

Start Campaign
RECRUITING Not applicable ClinicalTrials.gov

NOrthwestern Tempus AI-enaBLed Electrocardiography (NOTABLE) Trial

Sponsor: Northwestern University • ClinicalTrials.gov ID: NCT06511505

Registry updated: 2026-08-20
Ad

Recruiting for Similar Conditions?

Sponsors are looking for patients like you. See if you qualify for compensated research studies.

Check Eligibility →

Description

The goal of this clinical trial is to determine if a machine learning/artificial intelligence (AI)-based electrocardiogram (ECG) algorithm (rECHOmmend and ECG-AF) can identify undiagnosed cardiovascular disease in patients. It will also examine the safety and effectiveness of using this AI-based tool in a clinical setting. The main questions it aims to answer are: 1. Can the AI-based ECG algorithm improve the detection of atrial fibrillation and structural heart disease? 2. How does the use of this algorithm affect clinical decision-making and patient outcomes? Researchers will compare the outcomes of healthcare providers who receive the AI-based ECG results to those who do not. Participants (healthcare providers) will: Be randomized into two groups: one that receives AI-based ECG results and one that does not. In the intervention group, receive an assessment of their patient's risk of atrial fibrillation or structural heart disease with each ordered ECG. Decide whether to perform further clinical evaluation based on the AI-generated risk assessment as part of routine clinical care.

Interventions

  • Risk-Based Assessment for Cardiac Dysfunction (Device)
    The AI-enabled ECG-based screening tool analyzes 12-lead ECG recordings to identify patients at increased risk for undiagnosed cardiovascular diseases, specifically atrial fibrillation (AF) and structural heart disease (SHD). Clinicians in the intervention group will receive a risk assessment for AF and SHD each time they order an ECG for their patients.

Eligibility criteria

Inclusion Criteria: 1. Atrial fibrillation algorithm 1. Age 65 or over 2. ECG obtained as part of routine clinical care 2. Structural heart disease algorithm 1. Age 40 or over 2. ECG obtained as part of routine clinical care Exclusion Criteria: 1. Atrial fibrillation algorithm 1. No history of AF 2. No permanent pacemaker (PPM) or implantable cardioverter defibrillator (ICD) 3. No recent cardiac surgery (within the preceding 30 days) 2. Structural heart disease algorithm 1. No history of SHD 2. No echocardiogram within the past 1 year

Conditions

Atrial Fibrillation Cardiovascular Diseases Arrhythmia Valvular Disease

Locations

  • Northwestern University — Chicago, Illinois, United States
Sponsored

Partner with Nurenyx

Showcase your study to thousands of motivated patients matching your criteria.

Learn More

Official Source

Data sourced from ClinicalTrials.gov, a service of the U.S. National Institutes of Health.

View Official Record