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NOrthwestern Tempus AI-enaBLed Electrocardiography (NOTABLE) Trial

RecruitingNAAges 40 Years - anyAllNorthwestern University
NCT06511505 on ClinicalTrials.gov ↗
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In plain words

What the trial is, and whether it could suit you

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

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📋 Eligibility rules (as published)
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
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What it tests

  • Risk-Based Assessment for Cardiac Dysfunction
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Where

1 site
Northwestern University
Chicago, United States
🤝 Taking part is your choice, and you can leave at any time. Only the trial team can confirm you are eligible — always decide together with your own doctor.
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