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

NCT ID NCT05943938

Not yet recruiting Knowledge-focused Sponsor: Emory University Source: ClinicalTrials.gov ↗

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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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.

SEPSIS

Contacts and locations

Locations

Emory Decatur Hospital

Decatur, Georgia, 30033, United States
Emory Healthcare System

Atlanta, Georgia, 30322, United States
Emory Hillandale Hospital

Lithonia, Georgia, 30058, United States
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
Emory Saint Joseph's Hospital

Atlanta, Georgia, 30308, United States

More trials for these conditions

Other studies related to the condition(s) this trial covers.