AIMC Topic: Knee Joint
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The learning curve of imageless robot-assisted total knee arthroplasty with standardised laxity testing requires the completion of nine cases, but does not reach time neutrality compared to conventional surgery.
International orthopaedics
Nov 17, 2022
PURPOSE: The assistance of robot technology is introduced into the operating theatre to improve the precision of a total knee arthroplasty. However, as with all new technology, new technology requires a learning curve to reach adequate proficiency. T...
Radiographic findings involved in knee osteoarthritis progression are associated with pain symptom frequency and baseline disease severity: a population-level analysis using deep learning.
Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA
Nov 11, 2022
PURPOSE: To (1) develop a deep-learning (DL) algorithm capable of producing limb-length and knee-alignment measurements, and (2) determine the association between limb-length discrepancy (LLD), coronal-plane alignment, osteoarthritis (OA) severity, a...
How long does image based robotic total knee arthroplasty take during the learning phase? Analysis of the key steps from the first fifty cases.
International orthopaedics
Nov 10, 2022
INTRODUCTION: Robotically assisted total knee arthroplasty (RA-TKA) is an emerging surgical tool. The purpose of this study was to analyze the length of time taken to perform the key steps of a RA-TKA for a surgeon and centre new to the MAKO robotic ...
What are the perceived benefits and barriers to the use of robot-assisted total knee arthroplasty? A survey of members of the European Knee Society.
International orthopaedics
Nov 10, 2022
PURPOSE: Members of the European Knee Society (EKS) recently took part in an online questionnaire on robot-assisted TKA. The purpose of this study was to report and analyse the questionnaire results on the demographics of users versus non-users, the ...
End-to-end deep learning model for segmentation and severity staging of anterior cruciate ligament injuries from MRI.
Diagnostic and interventional imaging
Oct 31, 2022
PURPOSE: The purpose of this study was to develop a semi-supervised segmentation and classification deep learning model for the diagnosis of anterior cruciate ligament (ACL) tears on MRI based on a semi-supervised framework, double-linear layers U-Ne...
DSMENet: Detail and Structure Mutually Enhancing Network for under-sampled MRI reconstruction.
Computers in biology and medicine
Oct 13, 2022
Reconstructing zero-filled MR images (ZF) from partial k-space by convolutional neural networks (CNN) is an important way to accelerate MRI. However, due to the lack of attention to different components in ZF, it is challenging to learn the mapping f...
High-resolution knee plain radiography image synthesis using style generative adversarial network adaptive discriminator augmentation.
Journal of orthopaedic research : official publication of the Orthopaedic Research Society
Oct 5, 2022
In this retrospective study, 10,000 anteroposterior (AP) radiography of the knee from a single institution was used to create medical data set that are more balanced and cheaper to create. Two types of convolutional networks were used, deep convoluti...
A bioinspired robotic knee with controlled joint surfaces and adjustable ligaments.
Bioinspiration & biomimetics
Oct 3, 2022
The knee joint plays a key role in kinematic and kinetic performances of pedestrain locomotion. The key role of meniscus with matched ligaments in joint stability and movability has not been fully explored in current robotic knee designs. We fabricat...
Validity of an artificial intelligence, human pose estimation model for measuring single-leg squat kinematics.
Journal of biomechanics
Sep 29, 2022
Few studies have investigated the validity of 2D pose estimation models to evaluate kinematics throughout a motion and none have included adolescents. Adolescent athletes completed single-leg squats while 3D kinematic data and 2D sagittal and frontal...
Robot-assisted all-epiphyseal anterior cruciate ligament reconstruction in skeletally immature patients: a retrospective study.
International orthopaedics
Sep 28, 2022
PURPOSE: To review a series of adolescent patients with anterior cruciate ligament (ACL) injuries surgically treated with robot-assisted all-epiphyseal ACL reconstruction (ACLR), and to compare with the traditional freehand group.
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