AIMC Topic: Tibial Meniscus Injuries
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Diagnostic Performance of Artificial Intelligence for Detection of Anterior Cruciate Ligament and Meniscus Tears: A Systematic Review.
Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association
Sep 18, 2020
PURPOSE: To (1) determine the diagnostic efficacy of artificial intelligence (AI) methods for detecting anterior cruciate ligament (ACL) and meniscus tears and to (2) compare the efficacy to human clinical experts.
Deep convolutional neural network-based detection of meniscus tears: comparison with radiologists and surgery as standard of reference.
Skeletal radiology
Mar 13, 2020
OBJECTIVE: To clinically validate a fully automated deep convolutional neural network (DCNN) for detection of surgically proven meniscus tears.
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...
Artificial intelligence to diagnose meniscus tears on MRI.
Diagnostic and interventional imaging
Mar 28, 2019
PURPOSE: The purpose of this study was to build and evaluate a high-performance algorithm to detect and characterize the presence of a meniscus tear on magnetic resonance imaging examination (MRI) of the knee.
Automatic knee meniscus tear detection and orientation classification with Mask-RCNN.
Diagnostic and interventional imaging
Mar 23, 2019
PURPOSE: This work presents our contribution to a data challenge organized by the French Radiology Society during the Journées Francophones de Radiologie in October 2018. This challenge consisted in classifying MR images of the knee with respect to t...
Five simultaneous artificial intelligence data challenges on ultrasound, CT, and MRI.
Diagnostic and interventional imaging
Mar 15, 2019
PURPOSE: The goal of this data challenge was to create a structured dynamic with the following objectives: (1) teach radiologists the new rules of General Data Protection Regulation (GDPR), while building a large multicentric prospective database of ...
Interprofessional Relations
Thyroid Cartilage
Kidney Cortex
Ultrasonography
Liver Neoplasms
Magnetic Resonance Imaging
Computer Security
Tibial Meniscus Injuries
Neoplasm Invasiveness
Datasets as Topic
Breast Neoplasms
Communication
Humans
Thyroid Neoplasms
Artificial Intelligence
Tomography, X-Ray Computed
Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet.
PLoS medicine
Nov 27, 2018
BACKGROUND: Magnetic resonance imaging (MRI) of the knee is the preferred method for diagnosing knee injuries. However, interpretation of knee MRI is time-intensive and subject to diagnostic error and variability. An automated system for interpreting...
Middle Aged
Diagnosis, Computer-Assisted
Deep Learning
Image Interpretation, Computer-Assisted
Automation
Magnetic Resonance Imaging
Predictive Value of Tests
Reproducibility of Results
Young Adult
Adult
Humans
Male
Databases, Factual
Retrospective Studies
Female
Tibial Meniscus Injuries
Anterior Cruciate Ligament Injuries
Knee
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.
Knee Meniscus Segmentation and Tear Detection from MRI: A Review.
Current medical imaging reviews
Jan 1, 2020
BACKGROUND: Automatic diagnostic systems in medical imaging provide useful information to support radiologists and other relevant experts. The systems that help radiologists in their analysis and diagnosis appear to be increasing.
[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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