AIMC Topic: Knee Injuries

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Assessment of knee laxity using a robotic testing device: a comparison to the manual clinical knee examination.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA Dec 24, 2015
PURPOSE: The purpose of this study was to collect knee laxity data using a robotic testing device. The data collected were then compared to the results obtained from manual clinical examination.
Male Robotics Rotation Cadaver Knee Joint Humans Knee Injuries Biomechanical Phenomena Joint Instability Tibia Medial Collateral Ligament, Knee Knee Femur Physical Examination
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Design and control of an active 1-DoF mechanism for knee rehabilitation.

Disability and rehabilitation. Assistive technology Mar 26, 2015
A 1-DoF robot is designed and fabricated to be used for knee rehabilitation training. The mechanism (robot) is designed to perform specific set of exercises while the patient is sitting on a chair. The therapy process for patients has different stage...
Knee Injuries Equipment Design Exercise Therapy Humans Robotics
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The influence of the medial meniscus in different conditions on anterior tibial translation in the anterior cruciate deficient knee.

International orthopaedics Nov 15, 2014
PURPOSE: The purpose of this study was the evaluation of knee laxity in the ACL-deficient knee with combined meniscal tear, meniscal suture and partial medial meniscectomy.
Knee Injuries Tibial Meniscus Injuries Anterior Cruciate Ligament Injuries Humans Knee Joint Adult Cadaver Male Biomechanical Phenomena Torque Robotics Female Range of Motion, Articular Rupture Joint Instability Tibia Menisci, Tibial
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Deep Learning Superresolution for Simultaneous Multislice Parallel Imaging-Accelerated Knee MRI Using Arthroscopy Validation.

Radiology Jan 1, 2025
Background Deep learning (DL) methods can improve accelerated MRI but require validation against an independent reference standard to ensure robustness and accuracy. Purpose To validate the diagnostic performance of twofold-simultaneous-multislice (S...
Adult Male Middle Aged Female Reproducibility of Results Knee Joint Arthroscopy Knee Injuries Deep Learning Magnetic Resonance Imaging Humans Prospective Studies
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A Deep Learning System for Synthetic Knee Magnetic Resonance Imaging: Is Artificial Intelligence-Based Fat-Suppressed Imaging Feasible?

Investigative radiology Jun 1, 2021
MATERIALS AND METHODS: This single-center study was approved by the institutional review board. Artificial intelligence-based FS MRI scans were created from non-FS images using a deep learning system with a modified convolutional neural network-based...
Humans Artificial Intelligence Knee Joint Magnetic Resonance Spectroscopy Deep Learning Knee Injuries Imaging, Three-Dimensional Reproducibility of Results Magnetic Resonance Imaging Sensitivity and Specificity
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Can Machine-learning Algorithms Predict Early Revision TKA in the Danish Knee Arthroplasty Registry?

Clinical orthopaedics and related research Sep 1, 2020
BACKGROUND: Revision TKA is a serious adverse event with substantial consequences for the patient. As the demand for TKA rises, reducing the risk of revision TKA is becoming increasingly important. Predictive tools based on machine-learning algorithm...
Body Weight Arthroplasty, Replacement, Knee Reoperation Predictive Value of Tests Registries Knee Injuries Preoperative Period Osteoarthritis, Knee Middle Aged Risk Assessment Age Factors Denmark Postoperative Complications Machine Learning Aged Algorithms Female Adult Humans Risk Factors Male
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