AI boosts accuracy in staging early esophageal cancer

NCT ID NCT07251114

First seen Jan 04, 2026 · Last updated May 16, 2026 · Updated 20 times

Summary

This study is testing whether an artificial intelligence system can help doctors more accurately determine how deep early esophageal cancer has spread when using endoscopic ultrasound. About 200 adults with early esophageal cancer or related conditions will take part. The goal is to see if AI-assisted grading improves treatment decisions and long-term outcomes like survival.

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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: •••••@•••••

  • Contact

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

Locations

  • Affiliated Hospital of Putian University

    NOT_YET_RECRUITING

    Putian, Fujian, 351100, China

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

    Contact

  • Fujian provincial hospital

    RECRUITING

    Fuzhou, Fujian, 350001, China

    Contact

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

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

    Contact

  • Putian First Hospital

    NOT_YET_RECRUITING

    Putian, Fujian, 351100, China

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

    Contact

    Contact

  • Putian Hospital of Traditional Chinese Medicine

    NOT_YET_RECRUITING

    Putian, Fujian, 351100, China

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

    Contact

    Contact

  • Xianyou County General Hospital

    NOT_YET_RECRUITING

    Putian, Fujian, 351100, China

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

    Contact

Conditions

Explore the condition pages connected to this study.