AI heart scanner put to the test on 200,000 patients

NCT ID NCT07333547

First seen Jan 12, 2026

Summary

This registry study will enroll 200,000 high-risk cardiac patients to see how well an AI platform called Willem can detect heart problems from standard ECGs. The AI's readings will be compared to expert cardiologist diagnoses, but the AI results won't be shared with doctors, so patient care stays the same. The goal is to gather evidence on whether AI can reliably interpret ECGs in real-world hospital settings.

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This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.

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Contacts and locations

Study contacts

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

Locations

  • La Paz University Hospital

    NOT_YET_RECRUITING

    Madrid, 28046, Spain

    Contact

  • Murcia University

    NOT_YET_RECRUITING

    Murcia, 30100, Spain

    Contact

  • Puerta de Hierro University Hospital

    NOT_YET_RECRUITING

    Madrid, 28222, Spain

    Contact

  • Vanderbilt University Medical Center

    RECRUITING

    Nashville, Tennessee, 37232, United States

    Contact

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

What this could lead to

If successful, this could show that AI can reliably read ECGs, potentially helping doctors spot heart issues faster and more accurately in the future.

What could go wrong

This is an observational study, not a treatment trial. The AI results are not used in patient care, so any benefit is still theoretical. The large size may reveal limitations in real-world accuracy.

Conditions

The condition(s) this trial relates to.

heart disorder

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.