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AI outsmarts old methods to predict tough intubations

NCT ID NCT06961240

Diagnosis Sponsor: Kutahya Health Sciences University Source: ClinicalTrials.gov ↗

What the study statuses mean

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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 Results may not be published yet.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)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
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
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Jun 26, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study tested an artificial intelligence (AI) system to predict which patients might have a difficult time being intubated (having a breathing tube placed) during general anesthesia. Researchers measured physical features like mouth opening and neck size, plus took photos, and used machine learning to make predictions. The goal is to help anesthesiologists prepare better and improve patient safety.

What this could mean

Our plain-language read of the trial. This is informational only, not medical advice or a prediction.

Active substance
AI-based prediction model
What this could lead to
If successful, this AI tool could help doctors quickly and accurately identify patients who may have a difficult airway, potentially reducing complications during intubation.
What could go wrong
This is a small, completed study with 250 patients. The AI model may not work as well in larger, more diverse groups or in real-world emergency settings.

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

250 people

The number who actually took part.

Started

May 2025

Finished

Nov 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

Adult patients aged 18 years and older who are scheduled for elective surgery under general anesthesia with endotracheal intubation. Participants will be recruited from the anesthesia outpatient clinic. Only patients who provide written informed consent and are able to undergo standardized airway assessment and portrait imaging will be included. Patients with emergency conditions, pregnancy, or a history of facial or head and neck surgery will be excluded.

Ages

18 years and older

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: * Patients aged 18 years or older * Patients scheduled to undergo general anesthesia with endotracheal intubation * Patients who provide written informed consent * Patients able to undergo preoperative clinical evaluation and imaging without contraindications Exclusion Criteria: * Patients younger than 18 years of age * Pregnant patients * Emergency surgery cases * Patients with a history of facial surgery altering facial anatomy * Patients with a history of head and neck surgery * Patients not receiving general anesthesia

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As listed by the trial registrant

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

Artificial intelligence (AI) Difficult intubation

Contacts and locations

Locations

  • Kütahya Health Sciences University

    Kütahya, 43100, Turkey (Türkiye)

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