AIMC Topic: Knee Joint
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Distribution of interscan measurement error in AI-based 3D MRI analysis of knee cartilage thickness in osteoarthritis.
PloS one
Aug 7, 2025
PURPOSE: A novel AI-based 3D analysis system was developed to automatically extract bone and cartilage from MRI data and provide average cartilage thickness. This study aimed to analyze the interscan measurement error of knee cartilage thickness in o...
Applying binary mixed model to predict knee osteoarthritis pain.
PloS one
Jul 15, 2025
Data used to understand knee osteoarthritis (KOA) often involves knee-level, rather than person-level information. Failure to account for the correlation between joints within a person may lead to inaccurate inferences. The aim of this study was to d...
Deep learning based classification of tibio-femoral knee osteoarthritis from lateral view knee joint X-ray images.
Scientific reports
Jul 1, 2025
Design an effective deep learning-driven method to locate and classify the tibio-femoral knee joint space width (JSW) with respect to both anterior-posterior (AP) and lateral views. Compare the results and see how successfully a deep learning approac...
Same-model and cross-model variability in knee cartilage thickness measurements using 3D MRI systems.
PloS one
Jun 13, 2025
PURPOSE: Magnetic Resonance Imaging (MRI) based three-dimensional analysis of knee cartilage has evolved to become fully automatic. However, when implementing these measurements across multiple clinical centers, scanner variability becomes a critical...
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...
Prediction of coronal alignment in robotic-assisted total knee arthroplasty with artificial intelligence.
The Knee
Apr 25, 2025
INTRODUCTION: Robotic-assisted technologies provide the ability to avoid soft tissue release by utilizing more accurate bony cuts during total knee arthroplasty (TKA). However, the ideal limb alignment is not yet established. The aim of this study wa...
Evaluating artificial intelligence performance in medical image analysis: Sensitivity, specificity, accuracy, and precision of ChatGPT-4o on Kellgren-Lawrence grading of knee X-ray radiographs.
The Knee
Apr 23, 2025
BACKGROUND: Recent advancements in artificial intelligence, including ChatGPT, have enabled its application in medical image analysis.This study aimed to evaluate the sensitivity and specificity of ChatGPT in assessing knee osteoarthritis (KOA) radio...
Dynamic simulation of knee joint mechanics: individualized multi-moment finite element modelling of patellar tendon stress during landing.
Journal of biomechanics
Apr 23, 2025
Patellar tendinopathy is prevalent in sports requiring high jumping demands, and understanding the in vivo biomechanical behavior of the patellar tendon (PT) during landing is crucial for developing effective injury prevention and rehabilitation stra...
Classification of Grades of Subchondral Sclerosis from Knee Radiographic Images Using Artificial Intelligence.
Sensors (Basel, Switzerland)
Apr 17, 2025
Osteoarthritis (OA) is the most common joint disease, affecting over 300 million people worldwide. Subchondral sclerosis is a key indicator of OA. Currently, the diagnosis of subchondral sclerosis is primarily based on radiographic images; however, r...
Use of Artificial Intelligence on Imaging and Preoperatory Planning of the Knee Joint: A Scoping Review.
Medicina (Kaunas, Lithuania)
Apr 16, 2025
: This scoping review explores the current state of the art of AI-based applications in the field of orthopedics, focusing on its implementation in diagnostic imaging and preoperative planning of knee joint procedures. : The search was carried out us...
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