AIMC Topic: Knee Joint
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Deep Learning-based Automated Knee Joint Localization in Radiographic Images Using Faster R-CNN.
Current medical imaging
Jan 1, 2024
BACKGROUND: Osteoarthritis is a condition that poses a risk to the knee joint, resulting in pain and impaired function. However, traditional knee X-ray evaluations using the Kellgren-Lawrence grading system have proven to be inefficient. These evalua...
[Research progress of functional alignment robot assisted knee replacement].
Zhongguo gu shang = China journal of orthopaedics and traumatology
Nov 25, 2023
The correct alignment of the knee joint is considered to be one of the most influential factors in determining the long-term prognosis after total knee arthroplasty(TKA). In order to achieve the correct alignment goal, many different alignment concep...
[A multicenter randomized controlled trial of domestic robot-assisted and conventional total knee arthroplasty].
Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery
Nov 15, 2023
OBJECTIVE: To investigate the accuracy, safety, and short-term effectiveness of a domestic robot-assisted system in total knee arthroplasty (TKA) by a multicenter randomized controlled trial.
A novel robot-assisted knee arthroplasty system (ROSA) and 1-year outcome: A single center experience.
Medicine
Oct 20, 2023
BACKGROUND: Total knee arthroplasty is a successful procedure in the treatment of knee osteoarthritis. Searches in surgical technique have focused surgeons in particular on implant alignment. For this purpose, the use of robot-assisted total knee art...
Artificial intelligence in osteoarthritis: repair by knee joint distraction shows association of pain, radiographic and immunological outcomes.
Rheumatology (Oxford, England)
Aug 1, 2023
OBJECTIVES: Knee joint distraction (KJD) has been associated with clinical and structural improvement and SF marker changes. The current objective was to analyse radiographic changes after KJD using an automatic artificial intelligence-based measurem...
[A comparative study of short-term effectiveness of "SkyWalker" robot-assisted versus traditional total knee arthroplasty].
Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery
Apr 15, 2023
OBJECTIVE: To compare the short-term effectiveness of "SkyWalker" robot-assisted total knee arthroplasty (TKA) and traditional TKA.
[Automatic modeling of the knee joint based on artificial intelligence].
Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery
Mar 15, 2023
OBJECTIVE: To investigate an artificial intelligence (AI) automatic segmentation and modeling method for knee joints, aiming to improve the efficiency of knee joint modeling.
[Early clinical application of Mako robot-assisted total knee arthroplasty in knee osteoarthritis].
Zhongguo gu shang = China journal of orthopaedics and traumatology
Feb 25, 2023
OBJECTIVE: To investigate the early efficacy of Mako robot-assisted total knee arthroplasty (TKA) in the treatment of knee osteoarthritis (KOA) and summarize the initial application experience.
[Age assessment using CT of knee joint and neural network technologies].
Sudebno-meditsinskaia ekspertiza
Jan 1, 2023
Age assessment of living persons plays an important role in clinical and sports medicine, as well as in law practice. Traditional methods have a number of problems: age restrictions, technical difficulties of visualization, low reproducibility and su...
[A generative adversarial network-based unsupervised domain adaptation method for magnetic resonance image segmentation].
Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
Dec 25, 2022
Intelligent medical image segmentation methods have been rapidly developed and applied, while a significant challenge is domain shift. That is, the segmentation performance degrades due to distribution differences between the source domain and the ta...
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