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Can AI read ultrasound to ensure a clear airway?

NCT ID NCT07766382

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now This study
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
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Aug 14, 2026 · Last updated Aug 14, 2026

Summary

This study is testing whether artificial intelligence can accurately confirm that a laryngeal mask airway (a tube used to help patients breathe during surgery) is placed correctly. Researchers will use ultrasound images and compare the AI's assessment to the standard fiberoptic camera method. The goal is to see if AI can reliably tell the difference between optimal and suboptimal placement, which could lead to a quicker and less invasive way to check airway safety.

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-based models analyzing ultrasound images and clinical data
What this could lead to
If successful, this could provide a faster, less invasive way to confirm airway device placement during surgery, potentially improving patient safety.
What could go wrong
This is an early-stage diagnostic study, and the AI models may not be accurate enough for real-world use. The results depend on the quality of ultrasound images and may not apply to all patients.

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

About 200 people

The number the study aims to enrol. It can still change while the study runs.

Started

Aug 2026

Expected to finish

May 2027

An estimate. End dates often move.

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 or older) with ASA physical status I-III who are scheduled for elective surgery under general anesthesia and in whom a laryngeal mask airway is planned for airway management will constitute the study population. Patients will be recruited prospectively from the operating rooms of Düzce University Research and Application Hospital.

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: * Adults undergoing elective surgery under general anesthesia in whom LMA use is clinically planned; ASA physical status I-III; ability to provide written informed consent. Exclusion Criteria: * Emergency surgery; pregnancy; anticipated difficult airway; major upper airway or neck anatomical abnormality or previous major neck surgery; clinically significant aspiration risk or contraindication to LMA use; inability to obtain adequate ultrasound images or fiberoptic assessment.

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As listed by the trial registrant

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

How to take part

Only the study team decides who joins. These are the ways to reach them.

  1. The places running it

    1 site. The list below names each one and where it is.

  2. The official record

    ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.

    Open the record ↗

  3. A doctor treating you

    A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.

Contacts and locations

Locations

  • Duzce University

    RECRUITING

    Düzce, Düzce, Turkey (Türkiye)

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