AIMC Topic: Femur

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Characterizing Osteophyte Formation in Knee Osteoarthritis: Application of Machine Learning Quantification of a Computerized Tomography Cohort: Implications for Treatment.

The Journal of arthroplasty May 7, 2024
BACKGROUND: Osteophytes are commonly used to diagnose and guide knee osteoarthritis (OA) treatment, but their causes are unclear. Although they are not typically the focus of knee arthroplasty surgeons, they can predict case difficulty and length. Fu...
Female Aged Male Humans Machine Learning Arthroplasty, Replacement, Knee Tomography, X-Ray Computed Femur Osteoarthritis, Knee Osteophyte Middle Aged Cohort Studies Knee Joint
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An Improved Extreme Learning Machine (ELM) Algorithm for Intent Recognition of Transfemoral Amputees With Powered Knee Prosthesis.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society May 2, 2024
To overcome the challenges posed by the complex structure and large parameter requirements of existing classification models, the authors propose an improved extreme learning machine (ELM) classifier for human locomotion intent recognition in this st...
Amputees Adult Humans Knee Prosthesis Pattern Recognition, Automated Machine Learning Male Walking Locomotion Algorithms Logistic Models Intention Femur
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Robot-assisted anterior cruciate ligament reconstruction based on three-dimensional images.

Journal of orthopaedic surgery and research Apr 17, 2024
Background Tunnel placement is a key step in anterior cruciate ligament (ACL) reconstruction. The purpose of this study was to evaluate the accuracy of bone tunnel drilling in arthroscopic ACL reconstruction assisted by a three-dimensional (3D) image...
Imaging, Three-Dimensional Robotics Knee Joint Tibia Humans Tomography, X-Ray Computed Femur Anterior Cruciate Ligament Injuries Anterior Cruciate Ligament Reconstruction
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Automatic measurement of lower limb alignment in portable devices based on deep learning for knee osteoarthritis.

Journal of orthopaedic surgery and research Apr 10, 2024
BACKGROUND: For knee osteoarthritis patients, analyzing alignment of lower limbs is essential for therapy, which is currently measured from standing long-leg radiographs of anteroposterior X-ray (LLR) manually. To address the time wasting, poor repro...
Deep Learning Lower Extremity Knee Joint Tibia Humans Femur Retrospective Studies Osteoarthritis, Knee Reproducibility of Results
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Assessment of Automated Identification of Phases in Videos of Total Hip Arthroplasty Using Deep Learning Techniques.

Clinics in orthopedic surgery Mar 15, 2024
BACKGROUND: As the population ages, the rates of hip diseases and fragility fractures are increasing, making total hip arthroplasty (THA) one of the best methods for treating elderly patients. With the increasing number of THA surgeries and diverse s...
Hip Prosthesis Aged Deep Learning Acetabulum Fractures, Bone Arthroplasty, Replacement, Hip Femur Humans Retrospective Studies
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Application of artificial neural networks to evaluate femur development in the human fetus.

PloS one Mar 13, 2024
The present article concentrates on an innovative analysis that was performed to assess the development of the femur in human fetuses using artificial intelligence. As a prerequisite, linear dimensions, cross-sectional surface areas and volumes of th...
Artificial Intelligence Femur Humans Pregnancy Infant, Newborn Fetal Development Female Cross-Sectional Studies Neural Networks, Computer Fetus
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Full-length radiograph based automatic musculoskeletal modeling using convolutional neural network.

Journal of biomechanics Mar 9, 2024
Full-length radiographs contain information from which many anatomical parameters of the pelvis, femur, and tibia may be derived, but only a few anatomical parameters are used for musculoskeletal modeling. This study aimed to develop a fully automati...
Radiography Pelvis Tibia Neural Networks, Computer Image Processing, Computer-Assisted Femur
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Effect of robotic gait training on muscle and bone characteristics in spinal cord transected rats.

Journal of orthopaedic research : official publication of the Orthopaedic Research Society Feb 20, 2024
Osteoporosis and loss of muscle mass are secondary issues with spinal cord injury. Robotic gait training has provided evidence of increasing bone density and muscle mass, but its effect on bone strength is undetermined. The purpose of this study was ...
Animals Rats Rats, Sprague-Dawley Muscle, Skeletal Robotics Gait Bone Density Female Femur Spinal Cord Injuries Physical Conditioning, Animal
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Deep learning based detection of osteophytes in radiographs and magnetic resonance imagings of the knee using 2D and 3D morphology.

Journal of orthopaedic research : official publication of the Orthopaedic Research Society Feb 7, 2024
In this study, we investigated the discriminative capacity of knee morphology in automatic detection of osteophytes defined by the Osteoarthritis Research Society International atlas, using X-ray and magnetic resonance imaging (MRI) data. For the X-r...
Osteophyte Tibia Femur Osteoarthritis, Knee Male Middle Aged Deep Learning Humans Radiography Imaging, Three-Dimensional Female Knee Joint Aged Magnetic Resonance Imaging
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SSDL-an automated semi-supervised deep learning approach for patient-specific 3D reconstruction of proximal femur from QCT images.

Medical & biological engineering & computing Jan 13, 2024
Deep Learning (DL) techniques have recently been used in medical image segmentation and the reconstruction of 3D anatomies of a human body. In this work, we propose a semi-supervised DL (SSDL) approach utilizing a CNN-based 3D U-Net model for femur s...
Femur Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Humans Reproducibility of Results
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