From AR to AI: augmentation technology for intelligent surgery and medical treatments

Mei Zhang, Zhicheng Zhang, Xiao Wang, Hui Yu, Yifan Xia, Kanran Tan, Xiao Wang, Fei-Yue Wang

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With the development of augmented reality (AR) technologies, more and more approaches are proposed for medical applications. With the help of AR technology, the doctor can highly improve the spatial perception and obtain more information beneath the displayed image. Generally, 3D reconstruction, registration, tracking and depth visualization are all important for an AR system, which directly determine the accuracy of the system. However, none of recent systems have achieved a perfect 3D vision for doctors. It is particularly challenging for the AR system to perform well for operation on highly deformable body tissues. Therefore, there is an urgent need to improve the 3D vision and intelligence of AR systems. In this paper, we provide a review of the recent development of augmentation technologies for surgery and medical treatment. And then, we introduce the parallel intelligence theory into AR systems, which can provide a feasible approach to enhance the efficiency.
Original languageEnglish
Pages (from-to)792-796
Number of pages5
Issue number5
Publication statusPublished - 26 May 2021


  • potential impact of automation
  • open problems
  • augmented reality
  • medical treatment
  • parallel theory
  • 3D technology

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