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Could ChatGPT-Style AI help triage emergency patients? a massive study puts it to the test

NCT ID NCT07725965

Ongoing Knowledge-focused Sponsor: University of Cologne Source: ClinicalTrials.gov ↗

First seen Jul 24, 2026 · Last updated Jul 24, 2026

Summary

This study tests whether large language models (LLMs) — the same kind of AI behind chatbots — can predict what will happen to patients in the emergency department, such as whether they will be admitted to the hospital or need imaging. Researchers will analyze about 100,000 real emergency cases from a German hospital, comparing the AI's predictions to actual outcomes. They will also check whether removing personal information from the data harms the AI's accuracy.

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 help doctors make faster, more accurate triage decisions in busy emergency departments.
What could go wrong
This is a retrospective study using existing records, not a real-time test. The models may not perform as well in live clinical settings, and anonymization could reduce accuracy.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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As listed by the trial registrant

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

CLINICAL DECISION SUPPORT EMERGENCY CARE TRIAGE

Contacts and locations

Locations

  • Department of Internal Medicine II, University Hospital Cologne

    Cologne, 50937, Germany

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