Can AI spot sepsis before It's too late? new study aims to find out
NCT ID NCT05943938
First seen Jan 09, 2026 · Last updated May 13, 2026 · Updated 18 times
Summary
This study will compare three computer programs that try to predict sepsis, a life-threatening reaction to infection, in 1,200 adults coming to the emergency room. The programs will run silently in the background of the hospital's computer system, and doctors will not see their predictions. The goal is to find which algorithm works best so it can be used in the future to speed up treatment.
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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.
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
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Emory Decatur Hospital
Decatur, Georgia, 30033, United States
Contact Phone: •••-•••-•••• Email: •••••@•••••
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Emory Healthcare System
Atlanta, Georgia, 30322, United States
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Emory Hillandale Hospital
Lithonia, Georgia, 30058, United States
Contact Phone: •••-•••-•••• Email: •••••@•••••
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Emory Hospital
Atlanta, Georgia, 30322, United States
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Emory Johns Creek Hospital
Johns Creek, Georgia, 30097, United States
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Emory Midtown Hospital
Atlanta, Georgia, 30308, United States
Contact Phone: •••-•••-•••• Email: •••••@•••••
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Emory Saint Joseph's Hospital
Atlanta, Georgia, 30308, United States
Conditions
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