Can AI spot sepsis sooner? new study puts algorithms to the test

NCT ID NCT05943938

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study compares three computer programs designed to predict sepsis, a life-threatening reaction to infection. Researchers will test these programs on 1,200 adults arriving at the emergency room, but the predictions will not be shared with doctors or patients. The goal is to find the most accurate algorithm to help speed up diagnosis and treatment in the future.

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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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Conditions

The condition(s) this trial relates to.

Emergencies Infections infectious disease with sepsis Sepsis

As listed by the trial registrant

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

Contacts and locations

Study contacts

  • Contact

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

Locations

  • Emory Decatur Hospital

    Decatur, Georgia, 30033, United States

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

  • Emory Healthcare System

    Atlanta, Georgia, 30322, United States

  • Emory Hillandale Hospital

    Lithonia, Georgia, 30058, United States

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

  • Emory Hospital

    Atlanta, Georgia, 30322, United States

  • Emory Johns Creek Hospital

    Johns Creek, Georgia, 30097, United States

  • Emory Midtown Hospital

    Atlanta, Georgia, 30308, United States

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

  • Emory Saint Joseph's Hospital

    Atlanta, Georgia, 30308, United States