AI and ultrasound team up to predict Post-Surgery lung complications
NCT ID NCT05789953
First seen May 09, 2026 · Last updated May 09, 2026
Summary
This study aims to find a better way to predict lung complications after surgery under general anesthesia. Researchers will use a computer program (machine learning) and ultrasound images to identify high-risk patients early. The goal is to catch problems before they become serious, potentially saving lives and reducing the need for intensive care. The study will involve 512 adults having planned surgery.
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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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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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University Hospital Ulm
RECRUITINGUlm, 89081, Germany
Contact Phone: •••-•••-•••• Email: •••••@•••••
Contact Phone: •••-•••-•••• Email: •••••@•••••
Conditions
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