Research advances in artificial intelligence for difficult airway prediction
10.13406/j.cnki.cyxb.003882
- VernacularTitle:人工智能用于困难气道预测的研究进展
- Author:
Guilin ZHOU
1
;
Jianlin SHAO
Author Information
1. 昆明医科大学第一附属医院麻醉科,昆明 650000
- Keywords:
airway assessment;
difficult airway;
predictive model;
artificial intelligence;
deep learning;
machine learning
- From:
Journal of Chongqing Medical University
2025;50(10):1379-1384
- CountryChina
- Language:Chinese
-
Abstract:
Airway assessment is an important prerequisite for airway management.Difficult airway(DA)is a major challenge in anes-thesia management,and failure to predict DA in advance may lead to serious adverse events such as failed intubation and hypoxemia.Accurate assessment and prediction of possible DA before surgery is of vital importance.Traditional assessment systems rely on the ex-perience of the physician experience for interpretation,with a low sensitivity and difficulties in identifying hidden anatomical abnor-malities.Relying on powerful learning and data analysis capabilities,artificial intelligence(AI)establishes a predictive model for DA by integrating multimodal data on the basis of machine learning and deep learning,thereby improving the efficiency and accuracy of identifying abnormal anatomical structures in the airway,which helps to significantly improve prediction efficiency,develop a targeted regimen,implement effective management,and ensure the safety and quality of anesthesia.This article reviews the research on the ap-plication of AI in predicting DA in recent years.
