AIMC Topic: Menisci, Tibial
Clear Filters Showing 1 to 7 of 7 articles
Age and medial compartmental OA were important predictors of the lateral compartmental OA in the discoid lateral meniscus: Analysis using machine learning approach.
Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA
Apr 23, 2024
PURPOSE: The objective of this study was to develop a machine learning model that would predict lateral compartment osteoarthritis (OA) in the discoid lateral meniscus (DLM), from which to then identify factors contributing to lateral compartment OA,...
Meniscal lesion detection and characterization in adult knee MRI: A deep learning model approach with external validation.
Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
Mar 11, 2021
PURPOSE: Evaluation of a deep learning approach for the detection of meniscal tears and their characterization (presence/absence of migrated meniscal fragment).
Predictive validity of radiographic signs of complete discoid lateral meniscus in children using machine learning techniques.
Journal of orthopaedic research : official publication of the Orthopaedic Research Society
Jan 3, 2020
The diagnostic utility of radiographic signs of complete discoid lateral meniscus remains controversial. This study aimed to investigate the diagnostic accuracy and determine which sign is most reliably detects the presence of a complete discoid late...
A machine learning approach to knee osteoarthritis phenotyping: data from the FNIH Biomarkers Consortium.
Osteoarthritis and cartilage
Apr 16, 2019
OBJECTIVE: Knee osteoarthritis (KOA) is a heterogeneous condition representing a variety of potentially distinct phenotypes. The purpose of this study was to apply innovative machine learning approaches to KOA phenotyping in order to define progressi...
Biological Variation, Population
Congresses as Topic
National Institutes of Health (U.S.)
United States
Pain Measurement
Osteoarthritis, Knee
Collagen Type II
Cartilage, Articular
Menisci, Tibial
Middle Aged
Disease Progression
Severity of Illness Index
Aged
Male
Humans
Machine Learning
Databases, Factual
Biomarkers
Female
Knee menisci segmentation using convolutional neural networks: data from the Osteoarthritis Initiative.
Osteoarthritis and cartilage
Mar 9, 2018
OBJECTIVE: To present a novel method for automated segmentation of knee menisci from MRIs. To evaluate quantitative meniscal biomarkers for osteoarthritis (OA) estimated thereof.
The influence of the medial meniscus in different conditions on anterior tibial translation in the anterior cruciate deficient knee.
International orthopaedics
Nov 15, 2014
PURPOSE: The purpose of this study was the evaluation of knee laxity in the ACL-deficient knee with combined meniscal tear, meniscal suture and partial medial meniscectomy.
[Effect of HBP-A on meniscal injury and pathological hypertrophy and calcification of the meniscus].
Nan fang yi ke da xue xue bao = Journal of Southern Medical University
Apr 20, 2016
OBJECTIVE: To investigate the effect of HBP-A on meniscal injuries and the expressions of genes associated with pathological hypertrophy and calcification of the meniscusinduced by abnormal loading.
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