摘要
计算机视觉(CV)在麻醉学中的应用已日渐显现其潜力和价值,CV技术可以提高麻醉效果、降低并发症风险、优化资源分配和提高工作效率.文章回顾了CV在麻醉学中的现有应用,包括气道管理、神经阻滞和穿刺、麻醉深度(DoA)监测和围手术期相关并发症预警等;也讨论了当前应用中面临的挑战,如数据获取、模型训练、解释性、鲁棒性等;以及未来可能的发展方向,如采用混合学习、迁移学习和联邦学习等新的方法或技术.CV技术有望对麻醉学的发展产生深远影响,推动其向更高的精准医疗水平迈进.
Abstract
The application of computer vision(CV)in anesthesiology is gradually showing its potential and value,capable of enhancing the effectiveness of anesthesia,reducing the risk of complications,optimizing resource distribution,and improving work effi-ciency.This article reviews the current applications of CV in anesthesiology,including airway management,nerve blocks and punc-tures,monitoring the depth of anesthesia(DoA),and warning of perioperative-related complications.Meanwhile,it discusses the chal-lenges faced in the current application,such as data acquisition,model training,interpretability,and robustness,and potential direc-tions of future development,such as adopting new methods or technologies like mixed learning,transfer learning,and federated learn-ing.CV is expected to profoundly affect the development of anesthesiology,promoting it to a higher level of precision medical care.
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