AI vs. heart attacks: could a computer triage chest pain faster?

NCT ID NCT07027891

First seen Jun 27, 2026 · Last updated Jul 29, 2026 · Updated 2 times

Summary

This study tests whether an AI tool that reads ECGs can safely and effectively help emergency doctors decide if a patient with chest pain is having a heart attack. About 4,670 adults with chest pain suspicious for a heart attack will be randomly assigned to either AI-assisted or standard care. The main goal is to see if the AI approach misses any serious heart problems within 30 days.

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Conditions

The condition(s) this trial relates to.

As listed by the trial registrant

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

Contacts and locations

Locations

  • Asan Medical Center

    RECRUITING

    Seoul, 06628, South Korea

  • CHA Bundang Medical Center

    RECRUITING

    Seoul, 06628, South Korea

  • Ewha Womans University

    RECRUITING

    Seoul, 06628, South Korea

  • Gangnam Severance Hospital

    RECRUITING

    Seoul, 06628, South Korea

  • Hanyang University

    RECRUITING

    Seoul, 06628, South Korea

  • Jeonbuk National University Hospital

    RECRUITING

    Seoul, 06628, South Korea

  • Korea University Ansan Hospital

    RECRUITING

    Seoul, 06628, South Korea

  • Korea University Guro Hospital

    RECRUITING

    Seoul, 06628, South Korea

  • Kyung Hee University Hospital

    RECRUITING

    Seoul, 06628, South Korea

  • Samsung Medical Center

    RECRUITING

    Seoul, 06628, South Korea

  • Soonchunhyang University Bucheon Hospital

    RECRUITING

    Seoul, 06628, South Korea

  • Yonsei University Wonju College of Medicine

    RECRUITING

    Seoul, 06628, South Korea

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