基于人工智能的气道管理优化策略与实践分析  

Optimization strategy and practice analysis of airway management based on artificial intelligence

作　　者：赵美玉 王明亚 韩永正[1] 郭向阳[1] 贾斐 Zhao Meiyu;Wang Mingya;Han Yongzheng;Guo Xiangyang;Jia Fei(Department of Anesthesiology,Peking University Third Hospital;China Academy of Information and Communications Technology)

机构地区：[1]北京大学第三医院麻醉科,北京100191 [2]中国信息通信研究院云计算与大数据研究所,北京100191

出　　处：《重庆医科大学学报》2025年第1期1-5,共5页Journal of Chongqing Medical University

基　　金：国家自然科学基金面上资助项目(编号:82071189);首都卫生发展专项资助项目(编号:首发2024-2-40912)。

摘　　要：气道管理是临床麻醉学、急救医学和重症医学领域的重要技术之一,妥善的气道管理可有效减少患者术后肺部并发症、降低患者的死亡风险。人工智能在麻醉学领域的应用日臻成熟,已成为现代麻醉实践的重要组成部分。根据医学影像信息识别困难气道的算法模型可为复杂气道评估提供辅助决策。当前麻醉机器人在气道管理领域的技术革新进展显著,已发展出基于机器视觉技术和深度神经网络技术的机器人辅助气管插管系统。本文将重点介绍人工智能时代麻醉机器人在气道管理中的应用进展。Airway management plays an important role in clinical anesthesiology,emergency medicine,and critical care medicine.Proper airway management can effectively reduce postoperative pulmonary complications and lower the risk of death for patients.The application of artificial intelligence in the field of anesthesiology is becoming increasingly mature and has become an important component of modern anesthesia practice.The algorithm model that identifies difficult airway by analyzing medical imaging information can provide decision support for assessing complex airway.The technological innovation of anesthesia robots in airway management has made significant progress,and a robot-assisted tracheal intubation system based on machine vision technology and deep neural network technology has been developed.This review focuses on the application progress of anesthesia robots in airway management in the era of artificial intelligence.

关 键 词：气管插管 机器人 人工智能 机器学习 深度学习 

分 类 号：R614[医药卫生—麻醉学] R782.05[医药卫生—外科学]