AI heart test could warn stroke patients of hidden danger

NCT ID NCT07347691

Summary

This study is testing a new AI tool that analyzes a standard heart test (ECG) to see if it can predict which stroke patients are most likely to develop a dangerous irregular heartbeat called atrial fibrillation. The research involves 92 patients who have had a stroke of unknown cause and already have a small heart monitor implanted. The goal is to see if the AI's risk prediction matches what the heart monitor detects over time.

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Contacts and locations

Study contacts

  • Contact

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

  • Contact

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

Locations

  • Ajou University Hospital

    RECRUITING

    Suwon, South Korea

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

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

  • Inha University Hospital

    RECRUITING

    Incheon, South Korea

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

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

  • Jeju National University Hospital

    RECRUITING

    Jeju City, South Korea

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

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

  • Korea University Ansan Hospital

    RECRUITING

    Ansan, South Korea

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

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

  • Korea University Guro Hospital

    RECRUITING

    Seoul, South Korea

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

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

Conditions

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