Evaluating AI for predicting intubation difficulty with double lumen tubes
Efficacy and Reliability of Photo-Based Artificial Intelligence Algorithms in Assessing Difficulty of Intubation with a Double-Lumen Tube
Ankara Ataturk Sanatorium Training and Research Hospital · NCT06839261
This study tests whether a new AI tool can help doctors predict how hard it will be to place breathing tubes in patients having chest surgery.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 260 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | Ankara Ataturk Sanatorium Training and Research Hospital (other gov) |
| Locations | 1 site (Ankara, Keçiören) |
| Trial ID | NCT06839261 on ClinicalTrials.gov |
What this trial studies
This study examines the use of photo-based artificial intelligence algorithms to assess the difficulty of intubation with double lumen tubes in patients undergoing thoracic surgery. By analyzing images captured before and during the intubation process, the AI aims to provide real-time feedback to anesthesiologists, potentially improving the success rate of these complex procedures. The study focuses on the efficacy and reliability of these algorithms in enhancing airway management and reducing complications associated with difficult intubations.
Who should consider this trial
Good fit: Ideal candidates for this study are adults over 18 years old who are scheduled for thoracic surgery and require double lumen tube intubation.
Not a fit: Patients undergoing emergency surgeries or those with ASA classifications of 4 and above may not benefit from this study.
Why it matters
Potential benefit: If successful, this approach could significantly improve the safety and effectiveness of intubation procedures for patients undergoing thoracic surgery.
How similar studies have performed: While the use of AI in airway management is a growing field, this specific application of photo-based algorithms for double lumen tube intubation is relatively novel and has not been extensively tested in prior studies.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Undergoing thoracic surgery * Giving informed consent * Over 18 years of age * Double lumen tube used for intubation * ASA (American Society of Anesthesiologist)1-2-3 Exclusion Criteria: * Emergency surgeries * ASA 4 and above * Head and neck tumor, history of surgery/RT related to tumor * Presence of syndrome that will cause difficult intubation
Where this trial is running
Ankara, Keçiören
- Ankara Atatürk Sanatoryum Training and Research Hospital — Ankara, Keçiören, Turkey (RECRUITING)
Study contacts
- Principal investigator: Onur Küçük, Specialist — Ankara Atatürk Sanatoryum Training and Research Hospital
- Study coordinator: Onur Küçük, Specialist
- Email: dr.okucuk@gmail.com
- Phone: +905358543333
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.
Conditions: Intubation, Difficult, Artificial Intelligence, Double Lumen Tube Intubation, airway management, Double lumen tube, Difficult intubation, artificial intelligence