AI may help anesthesiologists avoid airway emergencies in obese patients

NCT ID NCT07666074

Recruiting now Diagnosis Sponsor: Elazıg Fethi Sekin Sehir Hastanesi Source: ClinicalTrials.gov ↗

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study tests whether artificial intelligence can better predict difficult airway management in 340 obese patients undergoing bariatric surgery. Researchers will compare AI predictions using standard measurements like mouth opening and neck length against actual views during intubation. If accurate, AI could help doctors prepare safer anesthesia plans.

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 could lead to a more accurate tool for predicting difficult airways, potentially reducing complications during anesthesia in obese patients.
What could go wrong: This is an early-stage study with 340 participants, so results may not apply to all patients. AI predictions may not outperform traditional methods, and the study does not test a treatment.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

Obesity obesity disorder

As listed by the trial registrant

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

OBESITY DIFFICULT AIRWAY AIRWAY MANAGEMENT

Contacts and locations

Locations

Fethi Sekin City Hospital
RECRUITING

Elâzığ, Elâzığ, 23100, Turkey (Türkiye)

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