Computer-Aided Orthopaedic Surgery: State-of-the-Art and Future Perspectives

被引:18
|
作者
Zheng, Guoyan [1 ]
Nolte, Lutz-P [1 ]
机构
[1] Univ Bern, Inst Surg Technol & Biomech, Bern, Switzerland
关键词
Computer-aided orthopaedic surgery (CAOS); Smart instrumentation; Medical robotics; Artificial intelligence; Machine learning; Deep learning; Big data analytics; Intelligent orthopaedics; TOTAL KNEE ARTHROPLASTY; PEDICLE SCREW PLACEMENT; ACCELEROMETER-BASED NAVIGATION; TOTAL HIP-ARTHROPLASTY; EOS IMAGING-SYSTEM; ACETABULAR ALIGNMENT; ACCURACY; REGISTRATION; BONE; REPLACEMENT;
D O I
10.1007/978-981-13-1396-7_1
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Introduced more than two decades ago, computer-aided orthopaedic surgery (CAOS) has emerged as a new and independent area, due to the importance of treatment of musculoskeletal diseases in orthopaedics and traumatology, increasing availability of different imaging modalities and advances in analytics and navigation tools. The aim of this chapter is to present the basic elements of CAOS devices and to review state-of-the-art examples of different imaging modalities used to create the virtual representations, of different position tracking devices for navigation systems, of different surgical robots, of different methods for registration and referencing, and of CAOS modules that have been realized for different surgical procedures. Future perspectives will be outlined. It is expected that the recent advancement on smart instrumentation, medical robotics, artificial intelligence, machine learning, and deep learning techniques, in combination with big data analytics, may lead to smart CAOS systems and intelligent orthopaedics in the near future.
引用
收藏
页码:1 / 20
页数:20
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