AI-Powered tablet could revolutionize emergency room triage

NCT ID NCT06933550

First seen Apr 23, 2026 · Last updated May 16, 2026 · Updated 5 times

Summary

This study aims to collect detailed symptom information from 3,000 adults in the emergency department waiting area using a tablet-based AI tool called the XUND Symptom Checker. Participants answer questions about their symptoms to help researchers see if this extra information can improve the quality of outpatient care. The study does not change any medical treatment—it only gathers data to better understand patient symptoms.

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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

    Email: •••••@•••••

Locations

  • Medical University of Graz

    RECRUITING

    Graz, Austria

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

    Contact

Conditions

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