NCT07666074Recruiting
AI-Based Prediction of Difficult Airway in Bariatric Surgery
Artificial Intelligence-Based Prediction of Difficult Airway in Bariatric Surgery: A Prospective Evaluation of Preoperative Airway Predictors
Source: ClinicalTrials.gov · Last updated 24 Jun 2026
Brief summary (registry, in English)
The aim of this prospective study is to evaluate the accuracy of artificial intelligence (AI) and machine learning algorithms in predicting difficult airways in patients undergoing bariatric surgery. Preoperative airway assessments, including the Upper Lip Bite Test (UBLT), Mallampati score, Body Mass Index (BMI), thyromental distance (TMD), and sternomental distance (SMD), will be recorded. The study investigates whether AI models can provide higher sensitivity and specificity in predicting difficult intubation compared to traditional clinical scoring systems in the obese patient population.
- Status (registry)
- Recruiting
- Study type
- Observational
- Enrollment
- 340 (estimated)
- First submitted
- 18 Jun 2026
- Start date
- 21 May 2026
- Primary completion date
- 1 Sept 2026
- Lead sponsor
- Elazıg Fethi Sekin Sehir Hastanesi
- Diseases
- Obesity
- NCT number
- NCT07666074
What you commit to
- Study type: Observational
- Planned participants: 340
- From 21 May 2026 to the primary completion date, 1 Sept 2026
- 1 site in 1 country
- Visits and tests: ask the trial team, the registry does not list them
Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.
Who cannot take part
Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.
Other illness
- Patients with known upper airway anatomical deformities, head and neck tumors, or a history of head/neck radiotherapy.
- History of maxillofacial, airway, or cervical spine surgery.
Other
- Emergency surgeries.
- Patients requiring planned awake fiberoptic intubation based on obvious preoperative clinical indicators.
Who the study is looking for
- Adult patients aged 18 to 65 years.
- Scheduled for elective bariatric surgery under general anesthesia.
- Body Mass Index (BMI) ≥ 35 kg/m².
- Consenting to participate in the study.
Age in the registry: 18 years to 65 years · Sex: All · Accepts healthy volunteers
Sites (1)
Sites in registry order. Pick your city on the disease page to sort them by distance.
| Site | City | Country | Site status |
|---|---|---|---|
| Fethi Sekin City Hospital Coordinator of this site? Confirm its status | Elâzığ | Turkey (Türkiye) | Recruiting |
This page is information, not medical advice. Discuss any trial with your doctor.