Accuracy and safety evaluation of a novel artificial intelligence-based robotic system for autonomous spinal posterior decompression.

Journal: Neurosurgical focus
PMID: 39616632

Abstract

OBJECTIVE: This study aimed to introduce a novel artificial intelligence (AI)-based robotic system for autonomous planning of spinal posterior decompression and verify its accuracy through a cadaveric model.

Authors

  • Chengxia Wang
    1Department of Orthopaedics, Peking University Third Hospital, Beijing.
  • Shuai Jiang
    Department of Orthopaedics, Peking University Third Hospital, Beijing, China.
  • Zhuofu Li
    Department of Orthopaedics, Peking University Third Hospital, Beijing, China.
  • Woquan Zhong
    1Department of Orthopaedics, Peking University Third Hospital.
  • Xiongkang Song
    4Robotics Institute, Beihang University, Beijing, China.
  • Hongsheng Liu
    School of Life Science, Liaoning University, Shenyang, 110036, China. liuhongsheng@lnu.edu.cn.
  • Lei Hu
    a School of Mechanical Engineering and Automation , Beihang University , Beijing , China.
  • Weishi Li
    Department of Orthopaedics, Peking University Third Hospital, Beijing, China.

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