AI-based Prediction Model of Difficult Tracheal Intubation Using Medical Image Parameters

Launched by MU DONG LIANG · May 20, 2025

Keywords

ClinConnect Summary

This clinical trial is looking at a new way to predict whether patients will have a difficult time with a procedure called tracheal intubation, which is often done during anesthesia. A difficult airway can be a serious problem, so it's important to identify patients who might be at higher risk. The current methods of prediction are not very accurate, so researchers want to see if using advanced technology, specifically artificial intelligence (AI) with medical imaging like CT and MRI scans, can improve the accuracy of these predictions.

To be eligible for this study, participants must be at least 18 years old, be scheduled for surgery that requires general anesthesia with intubation, and have had a CT scan of their head and neck. They also need to agree to participate in the study. Participants will not be included if they have certain conditions that could complicate the intubation, such as severe swelling in the throat or previous surgeries in that area. This trial is not currently recruiting participants, but it aims to enhance the safety of anesthesia for future patients by better predicting who may face challenges during intubation.

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • 1. age ≥18 years old;
• • 2. surgical patients undergoing general anesthesia with endotracheal intubation;
• • 3. with head and neck CT examination results
• • 4. Consent to participate in the study.
• Exclusion Criteria:
• • 1. The presence of laryngeal edema;
• • 2. The presence of airway stenosis, including internal airway stenosis (such as foreign body or tumor) or stenosis caused by external tracheal mass compression;
• • 3. tracheo-esophageal fistula;
• • 4. severe gastroesophageal reflux;
• • 5. previous upper airway surgery, such as laryngeal cancer radical surgery, snoring surgery, etc.
• • 6）participating in other research projects