New algorithm could decide who gets rehab in the ICU
NCT ID NCT06532994
First seen Apr 22, 2026 · Last updated May 23, 2026 · Updated 6 times
Summary
This study aims to create a prediction tool to identify which ICU patients who needed a breathing tube will benefit most from early rehabilitation. Researchers will collect data from 250 adults and use machine learning to build the algorithm. The goal is to reduce complications and improve quality of life by targeting rehab to those who need it.
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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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Zhongnan hospital of Wuhan University
RECRUITINGWuhan, Hubei, 430070, China
Contact Email: •••••@•••••
Conditions
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