AIMC Topic: Knee

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Validity of an artificial intelligence, human pose estimation model for measuring single-leg squat kinematics.

Journal of biomechanics Sep 29, 2022
Few studies have investigated the validity of 2D pose estimation models to evaluate kinematics throughout a motion and none have included adolescents. Adolescent athletes completed single-leg squats while 3D kinematic data and 2D sagittal and frontal...
Humans Knee Joint Leg Knee Artificial Intelligence Biomechanical Phenomena Adolescent
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Successful real-world application of an osteoarthritis classification deep-learning model using 9210 knees-An orthopedic surgeon's view.

Journal of orthopaedic research : official publication of the Orthopaedic Research Society Jul 21, 2022
This study aimed to evaluate the performance of a deep-learning model to evaluate knee osteoarthritis using Kellgren-Lawrence grading in real-life knee radiographs. A deep convolutional neural network model was trained using 8964 knee radiographs fro...
Knee Humans Orthopedic Surgeons Deep Learning Radiography Osteoarthritis, Knee
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Pediatric age estimation from radiographs of the knee using deep learning.

European radiology Mar 1, 2022
OBJECTIVES: Age estimation, especially in pediatric patients, is regularly used in different contexts ranging from forensic over medicolegal to clinical applications. A deep neural network has been developed to automatically estimate chronological ag...
Radiography Deep Learning Humans Knee Adolescent Neural Networks, Computer Child Retrospective Studies
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Inferring pediatric knee skeletal maturity from MRI using deep learning.

Skeletal radiology Feb 20, 2022
PURPOSE: Many children who undergo MR of the knee to evaluate traumatic injury may not undergo a separate dedicated evaluation of their skeletal maturity, and we wished to investigate how accurately skeletal maturity could be automatically inferred f...
Humans Deep Learning Adolescent Child Retrospective Studies Female Male Magnetic Resonance Imaging Lower Extremity Knee
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Open Source Software for Automatic Subregional Assessment of Knee Cartilage Degradation Using Quantitative T2 Relaxometry and Deep Learning.

Cartilage Sep 8, 2021
OBJECTIVE: We evaluated a fully automated femoral cartilage segmentation model for measuring T2 relaxation values and longitudinal changes using multi-echo spin-echo (MESE) magnetic resonance imaging (MRI). We open sourced this model and developed a ...
Cartilage, Articular Knee Software Deep Learning Knee Joint Humans
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Which GAN? A comparative study of generative adversarial network-based fast MRI reconstruction.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences May 10, 2021
Fast magnetic resonance imaging (MRI) is crucial for clinical applications that can alleviate motion artefacts and increase patient throughput. -space undersampling is an obvious approach to accelerate MR acquisition. However, undersampling of -space...
Image Interpretation, Computer-Assisted Linear Models Likelihood Functions Data Compression Humans Knee Neural Networks, Computer Algorithms Databases, Factual Magnetic Resonance Imaging Brain Liver Deep Learning Benchmarking
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DL-MRI: A Unified Framework of Deep Learning-Based MRI Super Resolution.

Journal of healthcare engineering Apr 9, 2021
Magnetic resonance imaging (MRI) is widely used in the detection and diagnosis of diseases. High-resolution MR images will help doctors to locate lesions and diagnose diseases. However, the acquisition of high-resolution MR images requires high magne...
Knee Magnetic Resonance Imaging Motion Artifacts Humans Deep Learning
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Using machine learning to investigate the relationship between domains of functioning and functional mobility in older adults.

PloS one Feb 11, 2021
Previous studies have shown that functional mobility, along with other physical functions, decreases with advanced age. However, it is still unclear which domains of functioning (body structures, body functions, and activities) are most closely relat...
Respiration Humans Body Composition Knee Male Machine Learning Female Walking Aged Torque Muscle Strength Aged, 80 and over Postural Balance
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Automated age estimation of young individuals based on 3D knee MRI using deep learning.

International journal of legal medicine Dec 17, 2020
Age estimation is a crucial element of forensic medicine to assess the chronological age of living individuals without or lacking valid legal documentation. Methods used in practice are labor-intensive, subjective, and frequently comprise radiation e...
Male Deep Learning Adolescent Automation Machine Learning Humans Imaging, Three-Dimensional Knee Algorithms Neural Networks, Computer Image Processing, Computer-Assisted Age Determination by Skeleton Young Adult Magnetic Resonance Imaging
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Automated measurement of hip-knee-ankle angle on the unilateral lower limb X-rays using deep learning.

Physical and engineering sciences in medicine Nov 30, 2020
Significant inherent extra-articular varus angulation is associated with abnormal postoperative hip-knee-ankle (HKA) angle. At present, HKA is manually measured by orthopedic surgeons and it increases the doctors' workload. To automatically determine...
Ankle X-Rays Hip Reproducibility of Results Humans Knee Deep Learning Retrospective Studies Lower Extremity
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