Progress on application of artificial intelligence in perioperative anesthesia decision-making
10.3760/cma.j.cn131073-20250220-00402
- VernacularTitle:人工智能在围手术期麻醉决策中应用的研究进展
- Author:
Shuantong LIN
1
;
Yuxiang SONG
1
;
Jingsheng LOU
1
;
Hejie ZHANG
1
;
Weidong MI
1
;
Jiangbei CAO
1
Author Information
1. 解放军总医院第一医学中心麻醉科，北京 100853
- Publication Type:Journal Article
- Keywords:
Artificial intelligence;
Anesthesia;
Decision-making
- From:
Chinese Journal of Anesthesiology
2025;45(4):399-404
- CountryChina
- Language:Chinese
-
Abstract:
The application of artificial intelligence (AI) in perioperative anesthesia decision-making is becoming a research hotspot, particularly in anesthesia risk assessment, depth of anesthesia monitoring, and postoperative recovery management, where it demonstrates significant potential. AI technologies, especially machine learning and deep learning, have demonstrated exceptional capabilities in processing and analyzing high-dimensional complex data. By leveraging these technologies, it is possible to efficiently interpret vast amounts of intricate clinical data, thereby providing anesthesiologists with personalized and precise decision support. However, implementing AI technologies in clinical practice faces numerous challenges, mainly including data quality, algorithm interpretability, and technological compatibility. Furthermore, concerns surrounding data privacy and ethical considerations urgently need to be addressed to ensure that the application of AI technologies aligns with clinical ethics and legal standards. This article aims to provide a comprehensive overview of AI technologies, their applications in perioperative anesthesia decision-making, existing limitations, and future directions. The goal is to offer insights into clinical anesthesia practice and to promote the realization of personalized precision anesthesia.
