AIMC Topic: Hip Joint

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Contribution of Labrum and Cartilage to Joint Surface in Different Hip Deformities: An Automatic Deep Learning-Based 3-Dimensional Magnetic Resonance Imaging Analysis.

The American journal of sports medicine Jun 7, 2025
BACKGROUND: Multiple 2-dimensional magnetic resonance imaging (MRI) studies have indicated that the size of the labrum adjusts in response to altered joint loading. In patients with hip dysplasia, it tends to increase as a compensatory mechanism for ...
Young Adult Adult Cross-Sectional Studies Male Humans Retrospective Studies Female Acetabulum Hip Joint Cartilage, Articular Hip Dislocation Middle Aged Deep Learning Imaging, Three-Dimensional Magnetic Resonance Imaging
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Comparison of lower limb kinematic and kinetic estimation during athlete jumping between markerless and marker-based motion capture systems.

Scientific reports May 27, 2025
Markerless motion capture (ML) systems, which utilize deep learning algorithms, have significantly expanded the applications of biomechanical analysis. Jump tests are now essential tools for athlete monitoring and injury prevention. However, the vali...
Humans Knee Joint Kinetics Athletes Hip Joint Young Adult Biomechanical Phenomena Male Lower Extremity Ankle Joint Movement Motion Capture
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Feasibility of human ethomic biomarkers for the diagnosis and monitoring of hip osteoarthritis.

Journal of biomechanics Apr 23, 2025
Radiographic imaging is typically used to diagnose osteoarthritis (OA). However, patients would typically be sent for imaging after they present to a physician because of joint pain. By this time, the condition is likely irreversible. This study aims...
Adult Humans Walking Biomechanical Phenomena Biomarkers Female Male Feasibility Studies Aged Middle Aged Hip Joint Osteoarthritis, Hip
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Can we use lower extremity joint moments predicted by the artificial intelligence model during walking in patients with cerebral palsy in the clinical gait analysis?

PloS one Apr 1, 2025
Several studies have highlighted the advantages of employing artificial intelligence (AI) models in gait analysis. However, the credibility and practicality of integrating these models into clinical gait routines remain uncertain. This study critical...
Adolescent Young Adult Humans Gait Child Adult Artificial Intelligence Hip Joint Lower Extremity Biomechanical Phenomena Female Cerebral Palsy Male Walking Gait Analysis
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Investigation of Trajectory Tracking Control in Hip Joints of Lower-Limb Exoskeletons Using SSA-Fuzzy PID Optimization.

Sensors (Basel, Switzerland) Feb 22, 2025
The application of lower-limb exoskeleton robots in rehabilitation is becoming more prevalent, where the precision of control and the speed of response are essential for effective movement tracking. This study tackles the challenge of optimizing both...
Fuzzy Logic Lower Extremity Robotics Walking Algorithms Humans Range of Motion, Articular Adult Hip Joint Biomechanical Phenomena Exoskeleton Device Male
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Deep learning based screening model for hip diseases on plain radiographs.

PloS one Feb 13, 2025
INTRODUCTION: The interpretation of plain hip radiographs can vary widely among physicians. This study aimed to develop and validate a deep learning-based screening model for distinguishing normal hips from severe hip diseases on plain radiographs.
Aged Adult Male Hip Humans Middle Aged Deep Learning Algorithms ROC Curve Female Radiography Hip Joint
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A deep learning approach for automatic 3D segmentation of hip cartilage and labrum from direct hip MR arthrography.

Scientific reports Feb 7, 2025
The objective was to use convolutional neural networks (CNNs) for automatic segmentation of hip cartilage and labrum based on 3D MRI. In this retrospective single-center study, CNNs with a U-Net architecture were used to develop a fully automated seg...
Deep Learning Imaging, Three-Dimensional Magnetic Resonance Imaging Hip Joint Cartilage, Articular Arthrography Young Adult Adult Male Middle Aged Neural Networks, Computer Retrospective Studies Female Humans
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Synthetic data generation in motion analysis: A generative deep learning framework.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine Feb 4, 2025
Generative deep learning has emerged as a promising data augmentation technique in recent years. This approach becomes particularly valuable in areas such as motion analysis, where it is challenging to collect substantial amounts of data. The objecti...
Hip Joint Mechanical Phenomena Movement Male Deep Learning Knee Joint Humans Biomechanical Phenomena
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Predictive estimation of ovine hip joint centers: Neural networks vs. linear regression.

Journal of biomechanics Jan 30, 2025
The purpose of this study was to investigate the utility of neural networks to estimate the hip joint center location in sheep and compare the accuracy of neural networks to previously developed linear regression models. CT scans from 16 sheep of var...
Linear Models Hip Joint Animals Male Sheep Neural Networks, Computer Tomography, X-Ray Computed Female
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Artificial neural networks' estimations of lower-limb kinetics in sidestepping: Comparison of full-body vs. lower-body landmark sets.

Journal of biomechanics Jan 27, 2025
Artificial neural networks (ANNs) offers potential for obtaining kinetics in non-laboratory. This study compared the estimation performance for ground reaction forces (GRF) and lower-limb joint moments during sidestepping between ANNs fed with full-b...
Young Adult Movement Adult Soccer Lower Extremity Humans Biomechanical Phenomena Knee Joint Neural Networks, Computer Male Kinetics Hip Joint
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