Doctors use ultrasound and AI to predict tricky breathing tube placements
NCT ID NCT06925009
Summary
This study aims to help doctors better plan for placing a breathing tube during surgery. Researchers will use ultrasound scans and patient information to create a computer model that predicts which patients might have a difficult procedure. The goal is to give doctors more information to choose the right tools and techniques, potentially making the process safer and smoother for 280 adult patients.
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.
Get updates
Get notified about this study
Sign up to get updates when this study changes or when new studies for DIFFICULT VIDEOLARYNGOSCOPY are added.
By submitting, you agree to our Terms of use
Contacts and locations
Show contact details
Enter your email to view the contact information for this study.
By submitting, you agree to our Terms of use
Locations
-
Clinica Universidad de Navarra
RECRUITINGMadrid, Madrid, 28027, Spain
Contact Phone: •••-•••-•••• Email: •••••@•••••
Conditions
Explore the condition pages connected to this study.