AI predicts patient crashes before they happen
NCT ID NCT05045742
First seen Mar 29, 2026 · Last updated May 21, 2026 · Updated 6 times
Summary
This study looked at data from 526 patients treated at home through a hospital-at-home program. Researchers used a computer algorithm to try to predict if a patient would get worse during their stay. The goal was to see if machine learning could help doctors spot problems earlier.
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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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Locations
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Brigham and Women's Faulkner Hospital
Boston, Massachusetts, 02130, United States
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Brigham and Women's Hospital
Boston, Massachusetts, 02115, United States
Conditions
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