Apply to trial NCT06511505

A few quick questions so the study team can decide if you might be a fit.

RecruitingDevice study

NOrthwestern Tempus AI-enaBLed Electrocardiography (NOTABLE) Trial

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.

How this works

  1. Answer a few questions

    About 5 to 10 minutes. Skip-friendly where possible.

  2. We connect you with the study team

    When a site picks up your application, we introduce you to their team directly — with you on the thread.

  3. The team reaches out to schedule screening

    Usually within a few business days, via the contact you give.

We save your progress under this email and copy you when we connect you with the study team.

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