Trials / Completed
CompletedNCT07152093
Development of an Artificial Intelligence-Based Model for Predicting Difficult Intubation Using Video Laryngoscopic Images and Cormack-Lehane Classification
- Status
- Completed
- Phase
- —
- Study type
- Observational
- Enrollment
- 132 (actual)
- Sponsor
- Duzce University · Academic / Other
- Sex
- All
- Age
- 18 Years – 65 Years
- Healthy volunteers
- Not accepted
Summary
This prospective observational study aims to develop an artificial intelligence model that can automatically determine the Cormack-Lehane classification from video laryngoscopy images in patients undergoing elective surgery. It also aims to predict the risk of difficult intubation based on this classification. The resulting data will evaluate the applicability of AI-supported decision support systems in clinical airway management.
Conditions
Timeline
- Start date
- 2025-05-01
- Primary completion
- 2025-09-30
- Completion
- 2025-10-01
- First posted
- 2025-09-03
- Last updated
- 2025-11-18
Locations
1 site across 1 country: Turkey (Türkiye)
Source: ClinicalTrials.gov record NCT07152093. Inclusion in this directory is not an endorsement.