AIMC Topic: Cartilage Diseases

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Editorial Commentary: Evaluation for Cartilage Lesions on Magnetic Resonance Imaging Continues to Improve: Artificial Intelligence Applications May Result in Higher Sensitivity and Specificity.

Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association Mar 13, 2024
Accurate detection of cartilage lesions of the knee is required to offer patient-specific care and can alter surgical intervention options. To date, diagnostic arthroscopy remains the gold standard yet often requires the need for staged operative pro...
Humans Artificial Intelligence Sensitivity and Specificity Magnetic Resonance Imaging Cartilage Diseases Cartilage, Articular Knee Joint
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Comparison of evaluation metrics of deep learning for imbalanced imaging data in osteoarthritis studies.

Osteoarthritis and cartilage May 19, 2023
PURPOSE: To compare the evaluation metrics for deep learning methods that were developed using imbalanced imaging data in osteoarthritis studies.
Cartilage Diseases Humans Retrospective Studies Knee Joint Magnetic Resonance Imaging Deep Learning Osteoarthritis, Knee Benchmarking
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Machine learning augmented near-infrared spectroscopy: In vivo follow-up of cartilage defects.

Osteoarthritis and cartilage Dec 30, 2020
OBJECTIVE: To assess the potential of near-infrared spectroscopy (NIRS) for in vivo arthroscopic monitoring of cartilage defects.
Neural Networks, Computer Spectroscopy, Near-Infrared Organ Size Horses Machine Learning Animals Cartilage, Articular Arthroscopy Wrist Joint Cartilage Diseases Carpal Joints
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The Use of Artificial Intelligence in the Evaluation of Knee Pathology.

Seminars in musculoskeletal radiology Jan 28, 2020
Artificial intelligence (AI) holds the potential to revolutionize the field of radiology by increasing the efficiency and accuracy of both interpretive and noninterpretive tasks. We have only just begun to explore AI applications in the diagnostic ev...
Cartilage Diseases Knee Injuries Image Interpretation, Computer-Assisted Osteoarthritis, Knee Humans Artificial Intelligence Radiography Knee Joint Magnetic Resonance Imaging
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Deep Learning Approach for Evaluating Knee MR Images: Achieving High Diagnostic Performance for Cartilage Lesion Detection.

Radiology Jul 31, 2018
Purpose To determine the feasibility of using a deep learning approach to detect cartilage lesions (including cartilage softening, fibrillation, fissuring, focal defects, diffuse thinning due to cartilage degeneration, and acute cartilage injury) wit...
Cartilage, Articular Knee Injuries Arthralgia Cartilage Diseases Humans Female Aged Retrospective Studies Adolescent ROC Curve Knee Joint Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Male Middle Aged Deep Learning Young Adult Adult
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Super-resolution musculoskeletal MRI using deep learning.

Magnetic resonance in medicine Mar 26, 2018
PURPOSE: To develop a super-resolution technique using convolutional neural networks for generating thin-slice knee MR images from thicker input slices, and compare this method with alternative through-plane interpolation methods.
Humans Knee Pilot Projects Phantoms, Imaging Imaging, Three-Dimensional Algorithms Signal-To-Noise Ratio Cartilage Diseases Magnetic Resonance Imaging Deep Learning Osteoarthritis, Knee
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Tenascin-C Prevents Articular Cartilage Degeneration in Murine Osteoarthritis Models.

Cartilage Dec 4, 2016
Objective The objective of this study was to determine whether intra-articular injections of tenascin-C (TNC) could prevent cartilage damage in murine models of osteoarthritis (OA). Design Fluorescently labeled TNC was injected into knee joints and i...
Cartilage, Articular Disease Models, Animal Tenascin Collagen Type II Mice, Inbred BALB C Mice Animals Cartilage Diseases Knee Joint Synovial Membrane Male Injections, Intra-Articular Osteoarthritis, Knee
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