Advances in artificial intelligence for airway management of intubated patients
10.11958/20251687
- VernacularTitle:人工智能在气道管理方面的研究进展
- Author:
Jiarong LI
1
;
Xiaomin ZHU
;
Xiaoyun ZHAO
Author Information
1. 天津大学医学院(邮编 300072)
- Publication Type:Journal Article
- Keywords:
artificial intelligence;
airway management;
intubation,intratracheal;
respiration,artificial;
difficult airway;
robotic endotracheal intubation
- From:
Tianjin Medical Journal
2025;53(10):1098-1104
- CountryChina
- Language:Chinese
-
Abstract:
Airway management is a critical component of critical patient care.Although traditional methods of airway management are effective to some extent,they still face many challenges,such as difficult airways,delayed endotracheal intubation,endotracheal tube migration,unpredictable airway complications and failure to mechanical ventilation weaning.Artificial intelligence(AI),a technological tool with advanced algorithms,offers important innovations to improve the safety and efficiency of airway management with its multimodal data integration and real-time decision support capabilities.For example,AI can be used in areas such as real-time monitoring of patients′ vital signs,dynamic adjustment of ventilator parameters,monitoring and assessment of airway complications,and assisted robotic tracheal intubation.In addition,AI is able to build predictive models based on big data to help reduce the risk of injury in mechanically ventilated patients and assist clinicians in making timely decisions.This paper reviews the research progress of AI in airway management and discusses issues of privacy and security,ethics,model performance and interpretability that may be faced during the use of AI,and looks forward to a more active role for AI in airway management in future.
