AI spots danger signs in home hospital patients before they worsen
NCT ID NCT05045742
First seen Mar 29, 2026 · Last updated Jun 16, 2026 · Updated 9 times
Summary
This study looked at whether a computer program could predict when patients being treated at home might deteriorate. Researchers used data from 526 patients in a home hospital program to train and test the machine learning model. The goal was to see if the program could accurately detect early warning signs of serious events like needing to return to the hospital or other major complications.
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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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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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