AIMC Topic: Arthroscopy

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Machine Learning Algorithms Predict Clinically Significant Improvements in Satisfaction After Hip Arthroscopy.

Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association Dec 24, 2020
PURPOSE: To develop machine learning algorithms to predict failure to achieve clinically significant satisfaction after hip arthroscopy.
Young Adult Arthroscopy Adult Postoperative Period Male Risk Case-Control Studies Hip ROC Curve Treatment Outcome Patient Satisfaction Calibration Neural Networks, Computer Machine Learning Algorithms Female Humans
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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...
Adult Deep Learning Ultrasonography Knee Joint Image Interpretation, Computer-Assisted Humans Algorithms Young Adult Cartilage Arthroscopy Femur
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Radiographic Indices Are Not Predictive of Clinical Outcomes Among 1735 Patients Indicated for Hip Arthroscopic Surgery: A Machine Learning Analysis.

The American journal of sports medicine Sep 14, 2020
BACKGROUND: The relationship between the preoperative radiographic indices for femoroacetabular impingement syndrome (FAIS) and postoperative patient-reported outcome measure (PROM) scores continues to be under investigation, with inconsistent findin...
Patient Reported Outcome Measures Arthroscopy Hip Joint Minimal Clinically Important Difference Machine Learning Cohort Studies Treatment Outcome Activities of Daily Living Femoracetabular Impingement Humans
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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 ...
Sensitivity and Specificity Deep Learning Magnetic Resonance Imaging Arthroscopy Reference Standards Anterior Cruciate Ligament Injuries Anterior Cruciate Ligament Humans Retrospective Studies Reproducibility of Results
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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.
Tibial Meniscus Injuries Retrospective Studies Magnetic Resonance Imaging Female Radiologists Aged Middle Aged Humans Arthroscopy Adult Clinical Competence Sensitivity and Specificity Neural Networks, Computer Adolescent Reference Standards Male
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Siam-U-Net: encoder-decoder siamese network for knee cartilage tracking in ultrasound images.

Medical image analysis Dec 23, 2019
The tracking of the knee femoral condyle cartilage during ultrasound-guided minimally invasive procedures is important to avoid damaging this structure during such interventions. In this study, we propose a new deep learning method to track, accurate...
Healthy Volunteers Arthroscopy Cartilage, Articular Imaging, Three-Dimensional Neural Networks, Computer Image Processing, Computer-Assisted Humans Female Ultrasonography, Interventional Male Knee Joint Deep Learning
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Application of Machine Learning for Predicting Clinically Meaningful Outcome After Arthroscopic Femoroacetabular Impingement Surgery.

The American journal of sports medicine Dec 23, 2019
BACKGROUND: Hip arthroscopy has become an important tool for surgical treatment of intra-articular hip pathology. Predictive models for clinically meaningful outcomes in patients undergoing hip arthroscopy for femoroacetabular impingement syndrome (F...
Machine Learning Female Young Adult Adult Male Minimal Clinically Important Difference Middle Aged Humans Femoracetabular Impingement Case-Control Studies Treatment Outcome Body Mass Index Activities of Daily Living Arthroscopy Hip Joint
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Deep Learning-Based Femoral Cartilage Automatic Segmentation in Ultrasound Imaging for Guidance in Robotic Knee Arthroscopy.

Ultrasound in medicine & biology Nov 22, 2019
Knee arthroscopy is a minimally invasive surgery used in the treatment of intra-articular knee pathology which may cause unintended damage to femoral cartilage. An ultrasound (US)-guided autonomous robotic platform for knee arthroscopy can be envisio...
Humans Male Surgery, Computer-Assisted Female Arthroscopy Deep Learning Young Adult Cartilage, Articular Ultrasonography Adult Robotic Surgical Procedures
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A randomized comparison between interscalene and combined infraclavicular-suprascapular blocks for arthroscopic shoulder surgery.

Canadian journal of anaesthesia = Journal canadien d'anesthesie Dec 19, 2017
BACKGROUND: This randomized trial aimed to evaluate combined infraclavicular-suprascapular blocks (ICB-SSBs) as a diaphragm-sparing alternative to interscalene blocks (ISBs) for arthroscopic shoulder surgery. We hypothesized that ICB-SSB would provid...
Pain, Postoperative Analgesics, Opioid Morphine Male Humans Arthroscopy Brachial Plexus Block Middle Aged Female Epinephrine Anesthetics, Local Aged Levobupivacaine Ultrasonography, Interventional Adult Shoulder Joint
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Arthroscopy-validated diagnostic performance of sub-5-min deep learning super-resolution 3T knee MRI in children and adolescents.

Skeletal radiology Dec 1, 2025
OBJECTIVE: This study aims to determine the diagnostic performance of sub-5-min combined sixfold parallel imaging (PIx3)-simultaneous multislice (SMSx2)-accelerated deep learning (DL) super-resolution 3T knee MRI in children and adolescents.
Humans Retrospective Studies Female Reproducibility of Results Sensitivity and Specificity Child Male Deep Learning Adolescent Magnetic Resonance Imaging Knee Joint Arthroscopy Knee Injuries
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