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从人工智能角度看磁导航气管镜的应用和发展
引用本文:马洪海,安舟,胡坚. 从人工智能角度看磁导航气管镜的应用和发展[J]. 中国胸心血管外科临床杂志, 2022, 0(1)
作者姓名:马洪海  安舟  胡坚
作者单位:浙江大学医学院附属第一医院胸外科
基金项目:国家重点研发计划(2017YFC0113500);浙江省重大科技专项计划项目(2020C03058);浙江省肺部肿瘤诊治技术研究中心(JBZX-202007);浙江省中医药(中西医结合)重点学科(2017-XK-A33)。
摘    要:电磁导航支气管镜的问世给外周型肺结节的诊断、定位甚至治疗带来了令人振奋的解决方案,突破了传统支气管镜检查的应用瓶颈,在对外周型肺结节活检过程中,使操作者有了实时的图像引导。磁导航系统可智能识别并重建患者的支气管树,可生成可视化数据给予操作者虚拟视觉引导,并能够实时感知磁定位信号,从而精准地引导导航或活检工具,本研究以Veran电磁导航系统为例,介绍了其相关人工智能配置及应用,并针对该系统仍存在的一些不足提出改进设想与展望,以期促进电磁导航气管镜研发及更好的临床应用。

关 键 词:电磁导航支气管镜  外周型肺结节  人工智能  综述

Application and development of electromagnetic navigation bronchoscopy in the view of artificial intelligence
MA Honghai,AN Zhou,HU Jian. Application and development of electromagnetic navigation bronchoscopy in the view of artificial intelligence[J]. Chinese Journal of Clinical Thoracic and Cardiovascular Surgery, 2022, 0(1)
Authors:MA Honghai  AN Zhou  HU Jian
Affiliation:(Department of General Thoracic Surgery,The First Affiliated Hospital,School of Medicine,Zhejiang University,Hangzhou,310003,P.R.China)
Abstract:The coming out of electromagnetic navigation bronchoscopy gives exciting solution for diagnosis and even treatment of peripheral pulmonary nodules.It breaks the barriers of traditional bronchoscopy,and gives live visible imaging guidance for operators during biopsy of peripheral pulmonary nodules.The electromagnetic navigation bronchoscopy system can intelligently recognize and reconstruct the bronchial tree of the patients,and generate visible data and virtual guidance for the operators.It can perceive real-time magnetic localization of the signal,so as to precisely guide the navigational or biopsy tools.This review introduced the artificial intelligence configuration of the electromagnetic navigation bronchoscopy system based on the Veran system,and gave some improvement advices based on the defects of the system.In this way,we hope to promote the development and better clinical application of electromagnetic navigation bronchoscopy system.
Keywords:Electromagnetic navigation bronchoscopy  peripheral pulmonary nodule  artificial intelligence  review
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