| 人工智能在气道管理中的应用 |
| |
| 引用本文： | 任伟东,吕楠,李梦杰,王洋,张焕龙,吕志峰.人工智能在气道管理中的应用[J].临床麻醉学杂志,2024,40(3):304-309. |
| |
| 作者姓名： | 任伟东 吕楠 李梦杰 王洋 张焕龙 吕志峰 |
| |
| 作者单位： | 450000,郑州市,河南中医药大学第一附属医院麻醉科;郑州轻工业大学电气信息工程学院 |
| |
| 基金项目： | 国家自然科学基金（62273243）；中国博士后科学基金新冠肺炎疫情防控专项资助（2020M670025ZX） |
| |
| 摘 要： | 人工智能技术的发展促进了气道管理方法和设备的更新，具有优化、解决气道管理中延迟插管、气道困难和气管导管位置的评估等问题的潜力。本文总结了气道管理领域常用的人工智能模型，从患者气管插管需求的预测、困难气道患者的识别、气管导管定位、气管插管设备的自动化和智能化进行总结阐述，为围术期气道管理工作提供参考。
|
| 关 键 词： | 人工智能 气管插管 困难气道 辅助设备 气道管理 |
Application of artificial intelligence in airway management |
| |
| REN Weidong,LYU Nan,LI Mengjie,WANG Yang,ZHANG Huanlong,LYU Zhifeng.Application of artificial intelligence in airway management[J].The Journal of Clinical Anesthesiology,2024,40(3):304-309. |
| |
| Authors: | REN Weidong LYU Nan LI Mengjie WANG Yang ZHANG Huanlong LYU Zhifeng |
| |
| Institution: | Department of Anesthesiology, the First Affiliated Hospital of Henan University of Traditional Chinese Medicine, Zhengzhou 450000, China |
| |
| Abstract: | The development of artificial intelligence technology has spurred advancements in airway management methods and devices, holding the potential to optimize and address issues related to delayed intubation, difficult airways, and the assessment of endotracheal tube placement. This article summarizes the commonly used artificial intelligence models in the airway management field, and exposition from the following perspectives, that is predicting patient endotracheal intubation needs, identifying difficult airway patients, endotracheal tube positioning, and the automation and intelligence of endotracheal intubation devices. It serves as a reference for perioperative airway management practices. |
| |
| Keywords: | Artificial intelligence Endotracheal intubation Difficult airway Assisted devices Airway management |
|
| 点击此处可从《临床麻醉学杂志》浏览原始摘要信息 |
| 点击此处可从《临床麻醉学杂志》下载免费的PDF全文 |
|
