Early outcomes and the learning curve of two domestically produced surgical robot systems with different operational philosophies for total knee arthroplasty

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Authors: Mingyou Wang, Zhu Mei, Yuping Lan, Xiaoqin Yang, Xunzhou Song, Zhuodong Tang, Zaihai Yang, Hongping Wang
Cited by: 0
References: 20

Abstract

A comparative study was conducted to evaluate the early clinical outcomes and learning curves associated with two domestically produced surgical robot systems with different operational philosophies—the Yuanhua “Kunwu®” and the Jianjia “Arthrobot”—in assisting total knee arthroplasty (TKA). This retrospective study analysed 107 patients with end-stage knee osteoarthritis. But the number of cases to proficiency was low and comparable for both, with proficiency attained in 13 cases compared to 16 cases in the other group. This was coupled with significantly reduced durations for both bone resection and the overall surgical procedure. Radiographic assessment revealed comparable outcomes between the two groups regarding prosthesis positioning and the restoration of lower limb alignment. Postoperative outcomes, including early functional scores (VAS, KSS, WOMAC, ROM), inflammatory markers, haemoglobin levels, complication rates, and patient satisfaction, were comparable between the two groups. Both robotic systems achieved precise prosthesis positioning and facilitated excellent early functional recovery. Regarding system-specific performance, the JRATKA platform excelled in operative efficiency, while the YRATKA system provided enhanced automation and incorporated safety features. The choice of system should be individualised, taking into account the specific requirements of the medical institution and the professional preferences of the surgical team.

Fields of Study & Subjects

Total Knee Arthroplasty Outcomes Prosthetics and Rehabilitation Robotics Knee injuries and reconstruction techniques

Publication details

Journal / source
Journal of Robotic Surgery
Volume
20
Issue
1
Pages
224–224
Publication date
5 February 2026
Language
EN