Trials / Not Yet Recruiting
Not Yet RecruitingNCT06982144
AI-based Prediction Model of Difficult Tracheal Intubation Using Medical Image Parameters
- Status
- Not Yet Recruiting
- Phase
- —
- Study type
- Observational
- Enrollment
- 228 (estimated)
- Sponsor
- Mu Dong Liang · Academic / Other
- Sex
- All
- Age
- 18 Years
- Healthy volunteers
- —
Summary
Difficult airway is a life-threatening event during anesthesia. Prediction model is helpful to detect high-risk patients and decrease the risk of un-anticipated difficult airway. Present models are usually based on Mallampati grade and the width of mouth open. However, the prediction accuracy is only about 0.7-0.8 in different populations. Present study is designed to investigate if AI-based prediction model using medical imaging parameters (such as CT and MRI) can increase the accuracy of prediction model.
Conditions
Timeline
- Start date
- 2025-05-20
- Primary completion
- 2026-03-01
- Completion
- 2026-05-30
- First posted
- 2025-05-21
- Last updated
- 2025-05-21
Locations
1 site across 1 country: China
Source: ClinicalTrials.gov record NCT06982144. Inclusion in this directory is not an endorsement.