AIMC Topic: Cartilage

Clear Filters Showing 11 to 20 of 29 articles

[Segmentation of knee cartilages in MR images with artificial intelligence].

Orvosi hetilap Feb 28, 2021
UNLABELLED: Összefoglaló. Bevezetés: A térdízületnek ultrafriss osteochondralis allograft segítségével történő részleges ortopédiai rekonstrukciója képalkotó vizsgálatokon alapuló pontos tervezést igényel, mely folyamatban a morfológia felismerésére ...
Artificial Intelligence Magnetic Resonance Imaging Knee Joint Cartilage Humans
View on PubMed DOI

Deep learning enables the automation of grading histological tissue engineered cartilage images for quality control standardization.

Osteoarthritis and cartilage Jan 8, 2021
OBJECTIVE: To automate the grading of histological images of engineered cartilage tissues using deep learning.
Cartilage Tissue Engineering Reference Standards Phenazines Quality Control Regenerative Medicine Automation Neural Networks, Computer Young Adult Humans Adult Indicators and Reagents Middle Aged Rosaniline Dyes Deep Learning Chondrogenesis Supervised Machine Learning Regeneration
View on PubMed DOI

Deep Learning for US Image Quality Assessment Based on Femoral Cartilage Boundary Detection in Autonomous Knee Arthroscopy.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Nov 24, 2020
Knee arthroscopy is a complex minimally invasive surgery that can cause unintended injuries to femoral cartilage or postoperative complications, or both. Autonomous robotic systems using real-time volumetric ultrasound (US) imaging guidance hold pote...
Algorithms Young Adult Adult Deep Learning Humans Cartilage Arthroscopy Femur Ultrasonography Knee Joint Image Interpretation, Computer-Assisted
View on PubMed DOI

Machine learning to predict mesenchymal stem cell efficacy for cartilage repair.

PLoS computational biology Oct 7, 2020
Inconsistent therapeutic efficacy of mesenchymal stem cells (MSCs) in regenerative medicine has been documented in many clinical trials. Precise prediction on the therapeutic outcome of a MSC therapy based on the patient's conditions would provide va...
Rats Models, Biological Rabbits Mesenchymal Stem Cells Animals Swine Computational Biology Cartilage Tissue Engineering Mesenchymal Stem Cell Transplantation Humans Machine Learning
View on PubMed DOI

Multi-classifier prediction of knee osteoarthritis progression from incomplete imbalanced longitudinal data.

Scientific reports May 21, 2020
Conventional inclusion criteria used in osteoarthritis clinical trials are not very effective in selecting patients who would benefit from a therapy being tested. Typically majority of selected patients show no or limited disease progression during a...
Models, Theoretical Patient Selection Cartilage Osteoarthritis, Knee Bone and Bones Humans Machine Learning Disease Progression
View on PubMed DOI

Deep learning-based fully automatic segmentation of wrist cartilage in MR images.

NMR in biomedicine May 11, 2020
The study objective was to investigate the performance of a dedicated convolutional neural network (CNN) optimized for wrist cartilage segmentation from 2D MR images. CNN utilized a planar architecture and patch-based (PB) training approach that ensu...
Cartilage Magnetic Resonance Imaging Wrist Osteoarthritis Female Reproducibility of Results Aged Adult Male Humans Middle Aged Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted
View on PubMed DOI

Applications of Computer Modeling and Simulation in Cartilage Tissue Engineering.

Tissue engineering and regenerative medicine Oct 5, 2019
BACKGROUND: Advances in cartilage tissue engineering have demonstrated noteworthy potential for developing cartilage for implantation onto sites impacted by joint degeneration and injury. To supplement resource-intensive in vivo and in vitro studies ...
Stress, Mechanical Oxygen Tissue Engineering Tissue Scaffolds Bioreactors Machine Learning Chondrocytes Computers Cartilage Computer Simulation
View on PubMed DOI

Super-resolution reconstruction of knee magnetic resonance imaging based on deep learning.

Computer methods and programs in biomedicine Sep 24, 2019
BACKGROUND AND OBJECTIVE: With the rapid development of medical imaging and intelligent diagnosis, artificial intelligence methods have become a research hotspot of radiography processing technology in recent years. The low definition of knee magneti...
Humans Neural Networks, Computer Artificial Intelligence Algorithms Computer Simulation Osteoarthritis, Knee Deep Learning Knee Image Processing, Computer-Assisted Magnetic Resonance Imaging Cartilage
View on PubMed DOI

Incorporating prior knowledge via volumetric deep residual network to optimize the reconstruction of sparsely sampled MRI.

Magnetic resonance imaging Mar 14, 2019
For sparse sampling that accelerates magnetic resonance (MR) image acquisition, non-linear reconstruction algorithms have been developed, which incorporated patient specific a prior information. More generic a prior information could be acquired via ...
Cartilage Imaging, Three-Dimensional Humans Image Processing, Computer-Assisted Neural Networks, Computer Magnetic Resonance Imaging Algorithms Artifacts Retrospective Studies
View on PubMed DOI

RNA-seq analysis reveals different gene ontologies and pathways in rheumatoid arthritis and Kashin-Beck disease.

International journal of rheumatic diseases Sep 5, 2018
AIMS: To understand the pathogenesis of cartilage damage in Kashin-Beck disease (KBD) and rheumatoid arthritis (RA) which similar clinical symptoms.
Arthritis, Rheumatoid Genetic Predisposition to Disease Sequence Analysis, RNA Humans Signal Transduction Databases, Genetic Cartilage Male Phenotype Proteoglycans Gene Ontology Female Middle Aged RNA Kashin-Beck Disease Gene Regulatory Networks Inflammation Mediators Aged
View on PubMed DOI
Popular Topics
Recent Journals