NCT05085743View on ClinicalTrials.gov

Prediction of Endotracheal Tube Depth by Using Deep Convolutional Neural Networks

CompletedOBSERVATIONAL
Enrollment

595

Participants

Timeline

Start Date

November 1, 2019

Primary Completion Date

October 31, 2020

Study Completion Date

October 31, 2020

Conditions
IntubationMachine Learning
Interventions
DIAGNOSTIC_TEST

Deep convolutional neural networks analysis

using Deep convolutional neural networks to analyze pre-intubation chest radiographs along with patients' data to predict the proper depth of ETT fixation

Trial Locations (1)

333

Chang Gung Memorial Hospital, Linkou branch, Taoyuan District

All Listed Sponsors
lead

Chang Gung Memorial Hospital

OTHER

NCT05085743 - Prediction of Endotracheal Tube Depth by Using Deep Convolutional Neural Networks | Biotech Hunter | Biotech Hunter