AIMC Topic: Knee Joint
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Comparison of Ground Reaction Forces and Net Joint Moment Predictions: Skeletal Model Versus Artificial Neural Network-Based Approach.
Journal of applied biomechanics
Apr 9, 2025
Artificial neural networks (ANNs) are becoming a regular tool to support biomechanical methods, while physics-based models are widespread to understand the mechanics of body in motion. Thus, this study aimed to demonstrate the accuracy of recurrent A...
Forecasting motion trajectories of elbow and knee joints during infant crawling based on long-short-term memory (LSTM) networks.
Biomedical engineering online
Apr 2, 2025
BACKGROUND: Hands-and-knees crawling is a promising rehabilitation intervention for infants with motor impairments, while research on assistive crawling devices for rehabilitation training was still in its early stages. In particular, precisely gener...
Kinetic Pattern Recognition in Home-Based Knee Rehabilitation Using Machine Learning Clustering Methods on the Slider Digital Physiotherapy Device: Prospective Observational Study.
JMIR formative research
Mar 18, 2025
BACKGROUND: Recent advancements in rehabilitation sciences have progressively used computational techniques to improve diagnostic and treatment approaches. However, the analysis of high-dimensional, time-dependent data continues to pose a significant...
ShapeMed-Knee: A Dataset and Neural Shape Model Benchmark for Modeling 3D Femurs.
IEEE transactions on medical imaging
Mar 17, 2025
Analyzing anatomic shapes of tissues and organs is pivotal for accurate disease diagnostics and clinical decision-making. One prominent disease that depends on anatomic shape analysis is osteoarthritis, which affects 30 million Americans. To advance ...
Predictive modelling of knee osteoporosis.
BMC research notes
Mar 16, 2025
OBJECTIVE: The objective of this research was to develop a machine learning-based predictive model for osteoporosis screening using demographic and clinical data, including T-scores derived from calcaneus Quantitative Ultrasound (QUS). The study aime...
Patellar tilt calculation utilizing artificial intelligence on CT knee imaging.
The Knee
Mar 13, 2025
BACKGROUND: In the diagnosis of patellar instability, three-dimensional (3D) imaging enables measurement of a wide range of metrics. However, measuring these metrics can be time-consuming and prone to error due to conducting 2D measurements on 3D obj...
A machine learning approach using gait parameters to cluster TKA subjects into stable and unstable joints for discovery analysis.
The Knee
Mar 11, 2025
BACKGROUND: Patient-reported joint instability after total knee arthroplasty (TKA) is difficult to quantify objectively. Here, we apply machine learning to cluster TKA subjects using nine literature-proposed gait parameters as knee instability predic...
AI classification of knee prostheses from plain radiographs and real-world applications.
European journal of orthopaedic surgery & traumatology : orthopedie traumatologie
Mar 11, 2025
PURPOSE: Total knee arthroplasty (TKA) is considered the gold standard treatment for end-stage knee osteoarthritis. Common complications associated with TKA include implant loosening and periprosthetic fractures, which often require revision surgery ...
Power-free knee rehabilitation robot for home-based isokinetic training.
Nature communications
Mar 8, 2025
Robot-assisted isokinetic training has been widely adopted for knee rehabilitation. However, existing rehabilitation facilities are often heavy, bulky, and extremely energy-consuming, which limits the rehabilitation opportunities only at designated h...
Comparison of predictive models for knee pain and analysis of individual and physical activity variables using interpretable machine learning.
The Knee
Mar 4, 2025
BACKGROUND: Knee pain is associated with not only individual factors such as age and obesity but also physical activity factors such as occupational activities and exercise, which has a significant impact on the lives of adults and the elderly.
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