Smart sensors could save lungs: AI guides suction timing for ventilator patients
NCT ID NCT07375667
First seen Feb 01, 2026 · Last updated May 17, 2026 · Updated 15 times
Summary
This study looks at how airway resistance changes in patients on breathing machines. By using machine learning to analyze these changes, doctors hope to find the best time to suction mucus from the airway. The goal is to reduce lung inflammation and improve outcomes for the 258 adults with severe lung conditions like ARDS or pneumonia.
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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: •••••@•••••
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Peking Union Medical College Hospital
RECRUITINGBeijing, Beijing Municipality, 100000, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
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The First Affiliated Hospital of Bengbu Medical University
RECRUITINGBengbu, Anhui, 233000, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
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the Second Affiliated Hospital of Zhejiang University School of Medicine
RECRUITINGHangzhou, Zhejiang, 310009, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
Conditions
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