AIMC Topic: Knee Joint

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Using deep-learning based segmentation to enable spatial evaluation of knee osteoarthritis (SEKO) in rodent models.

Osteoarthritis and cartilage Jun 1, 2025
OBJECTIVE: In preclinical models of osteoarthritis (OA), histology is commonly used to evaluate joint remodeling. The current study introduces a deep learning driven histological analysis pipeline for the spatial evaluation of knee osteoarthritis (SE...
Arthritis, Experimental Osteoarthritis, Knee Cartilage, Articular Rats Disease Models, Animal Knee Joint Bone Remodeling Animals Deep Learning Mice
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A metaheuristic optimization-based approach for accurate prediction and classification of knee osteoarthritis.

Scientific reports May 14, 2025
Knee osteoarthritis (KOA) is a severe arthrodial joint condition with significant global socioeconomic consequences. Early recognition and treatment of KOA is critical for avoiding disease progression and developing effective treatment programs. The ...
Deep Learning Knee Joint Osteoarthritis, Knee Humans Neural Networks, Computer
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[Machine learning models established to distinguish OA and RA based on immune factors in the knee joint fluid].

Xi bao yu fen zi mian yi xue za zhi = Chinese journal of cellular and molecular immunology Apr 1, 2025
Objective Based on 25 indicators including immune factors, cell count classification, and smear results of the knee joint fluid, machine learning models were established to distinguish between osteoarthritis (OA) and rheumatoid arthritis (RA). Method...
Machine Learning Female Aged Humans Male Middle Aged Knee Joint Osteoarthritis, Knee Synovial Fluid ROC Curve Arthritis, Rheumatoid Diagnosis, Differential
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Application of artificial intelligence in X-ray imaging analysis for knee arthroplasty: A systematic review.

PloS one Jan 1, 2025
BACKGROUND: Artificial intelligence (AI) is a promising and powerful technology with increasing use in orthopedics. The global morbidity of knee arthroplasty is expanding. This study investigated the use of AI algorithms to review radiographs of knee...
Algorithms Arthroplasty, Replacement, Knee Humans Radiography Artificial Intelligence Knee Prosthesis Knee Joint
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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...
Deep Learning Magnetic Resonance Imaging Knee Joint Adult Male Middle Aged Arthroscopy Knee Injuries Humans Prospective Studies Female Reproducibility of Results
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Generative AI in orthopedics: an explainable deep few-shot image augmentation pipeline for plain knee radiographs and Kellgren-Lawrence grading.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2024
OBJECTIVES: Recently, deep learning medical image analysis in orthopedics has become highly active. However, progress has been restricted by the absence of large-scale and standardized ground-truth images. To the best of our knowledge, this study is ...
Knee Joint Osteoarthritis, Knee Image Processing, Computer-Assisted Radiography Radiographic Image Interpretation, Computer-Assisted Humans Deep Learning
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Development and clinical validation of a deep learning-based knee CT image segmentation method for robotic-assisted total knee arthroplasty.

The international journal of medical robotics + computer assisted surgery : MRCAS Aug 1, 2024
BACKGROUND: This study aimed to develop a novel deep convolutional neural network called Dual-path Double Attention Transformer (DDA-Transformer) designed to achieve precise and fast knee joint CT image segmentation and to validate it in robotic-assi...
Humans Neural Networks, Computer Algorithms Robotic Surgical Procedures Tomography, X-Ray Computed Female Surgery, Computer-Assisted Deep Learning Reproducibility of Results Arthroplasty, Replacement, Knee Knee Joint Aged Imaging, Three-Dimensional Tibia Male Image Processing, Computer-Assisted Femur Middle Aged
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Hip Hiking Gait Improvement with Electrohydraulic Robotic Knee: Preliminary Results.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Individuals with Transfemoral Amputation (TFA) usually exhibit hip hiking walking with passive prostheses due to insufficient knee flexion. Powered knee prostheses can provide net-positive energy in the knee joint with improved gait symmetry. However...
Male Robotics Electromyography Humans Adult Gait Biomechanical Phenomena Torque Hip Knee Joint Walking
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Corrigendum to: Deep Learning-based Automated Knee Joint Localization in Radiographic Images Using Faster R-CNN.

Current medical imaging Jan 1, 2024
In the online version of the article, a change was made in the section of author's affiliation. The affiliation of Drs. Sivakumari and Vani in the online version of the article entitled "Deep Learning-based Automated Knee Joint Localization in Radiog...
Humans Deep Learning Knee Joint
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A novel measurement approach to dynamic change of limb length discrepancy using deep learning and wearable sensors.

Science progress Jan 1, 2024
The accurate identification of dynamic change of limb length discrepancy (LLD) in non-clinical settings is of great significance for monitoring gait function change in people's everyday lives. How to search for advanced techniques to measure LLD chan...
Knee Joint Gait Leg Length Inequality Deep Learning Wearable Electronic Devices Humans
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