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AI learns to spot tricky airways before surgery

NCT ID NCT07152093

Knowledge-focused Sponsor: Duzce University Source: ClinicalTrials.gov ↗

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Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed This study
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
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Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
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Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study tested whether an artificial intelligence (AI) model could predict difficult intubation (placing a breathing tube) by analyzing video images from a scope used during surgery. Researchers looked at 132 adults having elective surgery and compared the AI's predictions to expert doctors' opinions. The goal was to see if AI could help anesthesiologists prepare better for challenging airways.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Study facts

What this study's own registry entry says, in plain language.

Participants

132 people

The number who actually took part.

Started

May 2025

Finished

Oct 2025

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Who is studied

The study population will consist of adult patients undergoing elective surgery under general anesthesia at the operating rooms of Düzce University Medical Faculty Hospital. All patients will have their airways assessed using video laryngoscopy as part of routine anesthesia induction. Only patients without known upper airway pathology will be included. Patients will be prospectively and consecutively recruited. Video laryngoscopy images will be captured during intubation and used for machine learning analysis. The Cormack-Lehane grade will be independently confirmed by two experienced anesthesiologists. Patients will be classified into normal and difficult intubation groups.

Ages

18 to 65 years

Sex

Anyone

Healthy volunteers

Not accepted

This study is not open to healthy volunteers. The entry requirements below say who it is open to.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: * 18-65 years Elective surgery ASA I-II No upper airway pathology Exclusion Criteria: * Known history of difficult intubation Morbid obesity (BMI \> 40) Pregnancy History of upper airway surgery

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As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Difficult airway intubation

Contacts and locations

Locations

  • Duzce University Faculty of Medicine, Department of Anesthesiology and Reanimation

    Düzce, Merkez, Turkey (Türkiye)

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