# Prediction of Endotracheal Tube Depth by Using Deep Convolutional Neural Networks

> **NCT05085743** · — · COMPLETED · sponsor: **Chang Gung Memorial Hospital** · enrollment: 595 (actual)

## Conditions studied

- Intubation
- Machine Learning

## Interventions

- **DIAGNOSTIC_TEST:** Deep convolutional neural networks analysis

## Key facts

- **NCT ID:** NCT05085743
- **Lead sponsor:** Chang Gung Memorial Hospital
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** COMPLETED
- **Start date:** 2019-11-01
- **Primary completion:** 2020-10-31
- **Final completion:** 2020-10-31
- **Target enrollment:** 595 (ACTUAL)
- **Last updated:** 2021-10-20


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT05085743

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT05085743, "Prediction of Endotracheal Tube Depth by Using Deep Convolutional Neural Networks". Retrieved via AI Analytics 2026-06-02 from https://api.ai-analytics.org/clinical/NCT05085743. Licensed CC0.

---

*[Clinical trials dataset](/datasets/clinical-trials) · CC0 1.0*