Research progress of artificial intelligence in predicting difficult airway
Yang Zhanmei
Tang Zhiyin
Liu Hongtao
Abstract：Airway management is an important part of anesthesia.Unpredictable difficult airway can lead to serious consequences,such as hypoxemia and brain death,so airway assessment before anesthesia is particularly important.Machine learning and deep learning have better performance than traditional methods(such as modified Maholobian classification,thyromental distance,etc.)in establishing difficult airway prediction models.Machine learning algorithms can keenly find nonlinear relationships between variables.Deep learning algorithms,especially convolutional neural networks and their variants,have significantly improved prediction accuracy and efficiency by automatically analyzing multimodal data.This article focuses on the application of machine learning and deep learning technology in difficult airway assessment,in order to improve the safety of anesthesia.
Keywords：Artificial intelligenceAnesthesiaAirway managementPrediction modelMachine learningDeep learning
Publication Date：2025-10-18
Online Publishing Date：2026-09-14(First online date of this platform, not the publication date of the document)
Pages：5( 1578-1582 )