ReviewZhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery2026
[Progress and future prospects of robot-assisted total hip arthroplasty].
Review in Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Authors and funding
4 authors.
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Abstract
Total hip arthroplasty (THA) is the primary treatment for end-stage hip diseases, and its clinical outcomes mainly depend on the accuracy of prosthesis implantation. Robot-assisted THA (RTHA), with its advantages in prosthesis implantation, overcomes the uncertainty of component positioning in conventional surgery and has become a research hotspot in joint surgery in recent years. This article systematically reviews international RTHA systems such as ROBODOC and MAKO, as well as domestic RTHA systems including the ARTHROBOT Joint Replacement Surgical Robot and the LONGWELL THA Surgical Robot, comparing their technical characteristics and clinical application status. It also explores the medical application of industrial robotic arms such as WAM, KUKA, and UR and their innovative applications in THA, aiming to provide reference for the future development and clinical application of RTHA systems.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.