AI could spot tough intubations before surgery
NCT ID NCT01612949
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study aims to develop a computer algorithm that uses three facial photographs to predict how difficult it will be to insert a breathing tube (intubation). Researchers will compare this automated method to traditional exams in 3,500 patients needing intubation. If accurate, the tool could provide a consistent, objective way to anticipate challenges 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.
- What this could lead to
- If successful, this could lead to a simple, accurate tool to predict difficult intubation, reducing complications and improving patient safety.
- What could go wrong
- This is an early-stage study focused on developing an algorithm, not testing a treatment. The tool may not prove more accurate than existing methods, and results may not apply to all patients.
This is an AI summary of the original study and may miss details. Read our disclaimer.
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.
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.
Contacts and locations
Locations
-
Wake Forest Baptist Medical Center
RECRUITINGWinston-Salem, North Carolina, 27157, United States
More trials for these conditions
Other studies related to the condition(s) this trial covers.
- AI could spot difficult intubation risks from simple photos before surgery
- Ultrasound may help anesthesiologists spot difficult airways in kids
- Ultrasound of the neck may predict difficult breathing tube insertion
- Prostate surgery airway risks under the microscope
- Can we predict breathing problems in cleft surgery? new study aims to find out
- Mouth score may predict gallbladder surgery outcomes