Cure My Disease

Don't miss your cure!

 Log in / Sign up

AI could spot difficult intubation risks from simple photos before surgery

NCT ID NCT07700485

Knowledge-focused Sponsor: Memorial Atasehir 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 This study
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Jul 14, 2026 · Last updated Jul 15, 2026 · Updated 1 time

Summary

This study explores whether artificial intelligence models like ChatGPT, Gemini, and Grok can predict difficult intubation by analyzing standardized photos of a patient's airway taken before surgery. Researchers will compare the AI's predictions with assessments from expert anesthesiologists and actual outcomes during surgery. The goal is to see if AI can serve as a helpful screening tool to 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
multimodal artificial intelligence models (ChatGPT, Gemini, Grok) analyzing preoperative airway photographs
What this could lead to
If successful, this could lead to a simple, non-invasive AI tool that helps doctors identify patients at risk of difficult intubation before surgery, potentially reducing complications.
What could go wrong
This is an early observational study with only 319 participants. AI predictions may not be accurate enough for real-world use, and the models might not generalize to different patient populations or 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

About 319 people

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

Started

Jun 2026

Expected to finish

Sep 2026

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 scheduled for elective surgical procedures requiring endotracheal intubation at Dr. Siyami Ersek Thoracic and Cardiovascular Surgery Training and Research 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: * Age 18 years or older * Scheduled for elective surgery requiring endotracheal intubation * Able to cooperate with the standardized preoperative airway photography protocol * Able to provide written informed consent Exclusion Criteria: * Age younger than 18 years * Emergency surgery * Refusal or inability to provide informed consent * Inability to cooperate with the standardized photographic protocol * Known craniofacial or cervical deformity * History of major head and neck surgery or radiotherapy * Obstruction of key anatomical landmarks by facial hair, dressings, cervical collars, or other external devices * Incomplete or poor-quality image sets despite repeated acquisition * Missing clinical airway assessment data * No endotracheal intubation performed * Airway difficulty could not be reliably evaluated * Planned awake fiberoptic intubation or other preplanned advanced airway technique because of known difficult airway

Get updates

Get notified about this study

Sign up to get updates when this study changes or when new studies for Difficult intubation are added.

Our safety recommendation!

By submitting, you agree to our Terms of use

As listed by the trial registrant

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

Difficult intubation Difficult laryngoscopy

Contacts and locations

Locations

  • Dr. Siyami Ersek Thoracic and Cardiovascular Surgery Training and Research Hospital

    Istanbul, Kadıköy, 34734, Turkey (Türkiye)

More trials for these conditions

Other studies related to the condition(s) this trial covers.