AIMC Topic: Anterior Cruciate Ligament
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Deep learning to detect anterior cruciate ligament tear on knee MRI: multi-continental external validation.
European radiology
Jun 21, 2022
OBJECTIVES: To develop a deep-learning algorithm for anterior cruciate ligament (ACL) tear detection and to compare its accuracy using two external datasets.
Automatic segmentation model of intercondylar fossa based on deep learning: a novel and effective assessment method for the notch volume.
BMC musculoskeletal disorders
May 6, 2022
BACKGROUND: Notch volume is associated with anterior cruciate ligament (ACL) injury. Manual tracking of intercondylar notch on MR images is time-consuming and laborious. Deep learning has become a powerful tool for processing medical images. This stu...
Feasibility and accuracy of orthopaedic surgical robot system for intraoperative navigation to locate bone tunnel in anterior cruciate ligament reconstruction.
The international journal of medical robotics + computer assisted surgery : MRCAS
Nov 29, 2021
BACKGROUND: The combination of navigational system and robotics has the potential to accurately identify and drill bone tunnels in anterior cruciate ligament (ACL) reconstruction. This study explores the feasibility and accuracy of bone tunnel positi...
Interpretable and Lightweight 3-D Deep Learning Model for Automated ACL Diagnosis.
IEEE journal of biomedical and health informatics
Jul 27, 2021
We propose an interpretable and lightweight 3D deep neural network model that diagnoses anterior cruciate ligament (ACL) tears from a knee MRI exam. Previous works focused primarily on achieving better diagnostic accuracy but paid less attention to p...
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 Learning Approach for Anterior Cruciate Ligament Lesion Detection: Evaluation of Diagnostic Performance Using Arthroscopy as the Reference Standard.
Journal of magnetic resonance imaging : JMRI
Jul 26, 2020
BACKGROUND: MRI is the most commonly used imaging method for diagnosing anterior cruciate ligament (ACL) injuries. However, the interpretation of knee MRI is time-intensive and depends on the clinical experience of the reader. An automated detection ...
Motion Sensors-Based Machine Learning Approach for the Identification of Anterior Cruciate Ligament Gait Patterns in On-the-Field Activities in Rugby Players.
Sensors (Basel, Switzerland)
May 27, 2020
Anterior cruciate ligament (ACL) injuries are common among athletes. Despite a successful return to sport (RTS) for most of the injured athletes, a significant proportion do not return to competitive levels, and thus RTS post ACL reconstruction still...
The Impact of ACL Laxity on a Bicondylar Robotic Knee and Implications in Human Joint Biomechanics.
IEEE transactions on bio-medical engineering
Feb 5, 2020
OBJECTIVE: Elucidating the role of structural mechanisms in the knee can improve joint surgeries, rehabilitation, and understanding of biped locomotion. Identification of key features, however, is challenging due to limitations in simulation and in-v...
Robotically Simulated Pivot Shift That Represents the Clinical Exam.
Journal of orthopaedic research : official publication of the Orthopaedic Research Society
Aug 26, 2019
A thorough understanding of anterior cruciate ligament (ACL) function and the effects of surgical interventions on knee biomechanics requires robust technologies and simulation paradigms that align with clinical insight. In vitro orthopedic biomechan...
3D convolutional neural networks for detection and severity staging of meniscus and PFJ cartilage morphological degenerative changes in osteoarthritis and anterior cruciate ligament subjects.
Journal of magnetic resonance imaging : JMRI
Oct 10, 2018
BACKGROUND: Semiquantitative assessment of MRI plays a central role in musculoskeletal research; however, in the clinical setting MRI reports often tend to be subjective and qualitative. Grading schemes utilized in research are not used because they ...
False Positive Reactions
Osteoarthritis, Knee
Cartilage, Articular
ROC Curve
Imaging, Three-Dimensional
Meniscus
Aged
Retrospective Studies
Male
Magnetic Resonance Imaging
Anterior Cruciate Ligament Injuries
Female
Adult
Humans
Middle Aged
Anterior Cruciate Ligament
Sensitivity and Specificity
Neural Networks, Computer
Severity of Illness Index
Reproducibility of Results
Anterior Cruciate Ligament Reconstruction
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