Learning curve for robot-assisted knee arthroplasty; optimizing the learning curve to improve efficiency
Author:
Publisher
Springer Science and Business Media LLC
Subject
Biomedical Engineering
Link
https://link.springer.com/content/pdf/10.1007/s13534-023-00311-w.pdf
Reference38 articles.
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3. Baker PN, Van der Meulen JH, Lewsey J, Gregg PJ. The role of pain and function in determining patient satisfaction after total knee replacement: data from the national joint registry for England and wales. J Bone Joint Surg Br. 2007;89(7):893–900.
4. Bourne RB, Chesworth BM, Davis AM, Mahomed NN, Charron KD. Patient satisfaction after total knee arthroplasty: who is satisfied and who is not? Clin Orthop Relat Res. 2010;468:57–63.
5. Savov P, Tuecking LR, Windhagen H, Ehmig J, Ettinger M. Imageless robotic handpiece-assisted total knee arthroplasty: a learning curve analysis of surgical time and alignment accuracy. Arch Orthop Trauma Surg. 2021;141:2119–28.
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1. Early Clinical and Economic Outcomes for the VELYS Robotic-Assisted Solution Compared with Manual Instrumentation for Total Knee Arthroplasty;The Journal of Knee Surgery;2024-06-12
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