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AI reads your face to predict breathing tube challenges

NCT ID NCT06839261

Diagnosis Sponsor: Ankara Ataturk Sanatorium Training and Research Hospital Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 26, 2026

Summary

This completed study tested whether an artificial intelligence program, trained on patient photos, could predict if inserting a double-lumen breathing tube would be difficult. Researchers took six photos of the head and neck of 260 adults undergoing thoracic surgery and used the AI to estimate intubation difficulty, comparing it to standard methods. The goal was to see if AI could help anesthesiologists prepare better and reduce complications.

What this could mean

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

Active substance
Artificial intelligence algorithm
What this could lead to
If successful, this AI tool could help anesthesiologists predict difficult intubations more accurately, potentially reducing complications.
What could go wrong
This is a single-center completed study with 260 patients, so results may not apply broadly. The AI's accuracy depends on photo quality and may not outperform conventional methods.

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

260 people

The number who actually took part.

Started

Dec 2024

Finished

Mar 2025

Lead sponsor

A government agency

The lead sponsor is a government body.

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 sample size was calculated as 214 patients with a power of 0.90, 5% type-1 error, 81.8% sensitivity and 26.7% prevalence (AUC=0.864) with a power of 0.90, 5% type-1 error, 81.8% sensitivity and (AUC=0.864) 26.7% prevalence in the Sample Size Estimation for Diagnostic Accuracy Studies calculated for the study considering the literature data. Since 214 patients would be used to teach the AI easy and difficult intubation and 46 patients would be used to test the AI, a total of 260 patients were recruited.

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: * 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

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As listed by the trial registrant

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

Artificial intelligence (AI) Double lumen tube intubation Intubation;difficult

Contacts and locations

Locations

  • Ankara Atatürk Sanatoryum Training and Research Hospital

    Ankara, Keçiören, 06290, Turkey (Türkiye)

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