Can AI spot sepsis faster? new study puts algorithms to the test
NCT ID NCT05943938
First seen Jan 09, 2026 · Last updated May 23, 2026 · Updated 21 times
Summary
This study compares three computer programs designed to predict sepsis, a life-threatening response to infection. Researchers will test these programs on 1,200 adults arriving at the emergency department, 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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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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