Summary
The role of computers in orthopedic research and education and clinic is expanding rapidly. The computer assisted methods and modern technologies lately are changing musculoskeletal diagnostics, orthopedic surgery and rehabilitation. Technologies for computer assisted surgery (CAS) at the beginning were introduced into surgical practice for pre-operative planning and to enhance accuracy and safety for a variety of procedures. The introduction of highly demanding complex surgical procedures requires better visualization and detailed anatomy recognition intraoperatively. The new abilities to manipulate images during pre-operative planning increase an accuracy of surgical procedures. The orthopedic surgeon needs to be aware that technology driven methods are feasible and suitable nowadays. Computer-assisted methods for orthopedic surgery utilize the use of computers and robotic technology to assist in providing musculoskeletal care. Since its clinical implementation in neurosurgery, computer assisted methods in orthopedic surgery namely: surgical navigation, CAOS, CAD, distant learning, rapidly evolve in numerous applications. The final integration of all computerized applications creates new level of orthopedic surgical workflow of digital data that can be named Orthopedic PACS. Mentioned above methods have some clinically relevant implementations already, but further development is expected. The orthopedic surgeon should be aware of advantages as well pitfalls of its use. Clear understanding the goals, applications, and limitations of the computerized methods determine its successful current and future clinical use for the further improvement of the patients care. The future systems for daily practice should be characterized by easy learning, intuitive and friendly in use, and foolproof. The orthopaedic surgeon who understands and applies computerized technologies can expect further improvement in patients care.
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Glinkowski, W. (2008). Computer Enhanced Orthopedics. In: Pietka, E., Kawa, J. (eds) Information Technologies in Biomedicine. Advances in Soft Computing, vol 47. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68168-7_3
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