AIMC Topic: Humerus
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Sexual dimorphism of the humerus bones in a French sample: comparison of several statistical models including machine learning models.
International journal of legal medicine
Jan 25, 2025
Sex estimation is an important part of skeletal analysis and forensic identification. Traditionally pelvic traits are utilized for accurate sex estimation. However, the long bones, especially humerus, have been proved to be as effective for determine...
An accelerated deep learning model can accurately identify clinically important humeral and scapular landmarks on plain radiographs obtained before and after anatomic arthroplasty.
International orthopaedics
Jan 6, 2025
PURPOSE: Accurate identification of radiographic landmarks is fundamental to characterizing glenohumeral relationships before and sequentially after shoulder arthroplasty, but manual annotation of these radiographs is laborious. We report on the use ...
Machine learning models can define clinically relevant bone density subgroups based on patient-specific calibrated computed tomography scans in patients undergoing reverse shoulder arthroplasty.
Journal of shoulder and elbow surgery
Aug 16, 2024
BACKGROUND: Reduced bone density is recognized as a predictor for potential complications in reverse shoulder arthroplasty (RSA). While humeral and glenoid planning based on preoperative computed tomography (CT) scans assist in implant selection and ...
Assessing screw length impact on bone strain in proximal humerus fracture fixation via surrogate modelling.
International journal for numerical methods in biomedical engineering
Jun 12, 2024
A high failure rate is associated with fracture plates in proximal humerus fractures. The causes of failure remain unclear due to the complexity of the problem including the number and position of the screws, their length and orientation in the space...
Deep Learning-Based Computer-Aided Diagnosis of Osteochondritis Dissecans of the Humeral Capitellum Using Ultrasound Images.
The Journal of bone and joint surgery. American volume
May 14, 2024
BACKGROUND: Ultrasonography is used to diagnose osteochondritis dissecans (OCD) of the humerus; however, its reliability depends on the technical proficiency of the examiner. Recently, computer-aided diagnosis (CAD) using deep learning has been appli...
Deep learning-based osteochondritis dissecans detection in ultrasound images with humeral capitellum localization.
International journal of computer assisted radiology and surgery
Jan 17, 2024
PURPOSE: Osteochondritis dissecans (OCD) of the humeral capitellum is a common cause of elbow disorders, particularly among young throwing athletes. Conservative treatment is the preferred treatment for managing OCD, and early intervention significan...
Deep learning classification of shoulder fractures on plain radiographs of the humerus, scapula and clavicle.
PloS one
Aug 30, 2023
In this study, we present a deep learning model for fracture classification on shoulder radiographs using a convolutional neural network (CNN). The primary aim was to evaluate the classification performance of the CNN for proximal humeral fractures (...
Degree of Accuracy With Which Deep Learning for Ultrasound Images Identifies Osteochondritis Dissecans of the Humeral Capitellum.
The American journal of sports medicine
Jan 9, 2023
BACKGROUND: Medical screening using ultrasonography (US) has been performed on young baseball players for early detection of osteochondritis dissecans (OCD) of the humeral capitellum. Deep learning (DL) and artificial intelligence (AI) techniques are...
Replicating dynamic humerus motion using an industrial robot.
PloS one
Nov 9, 2020
Transhumeral percutaneous osseointegrated prostheses provide upper-extremity amputees with increased range of motion, more natural movement patterns, and enhanced proprioception. However, direct skeletal attachment of the endoprosthesis elevates the ...
Advancements in sex estimation using the diaphyseal cross-sectional geometric properties of the lower and upper limbs.
International journal of legal medicine
Oct 8, 2020
This paper introduces an automated method for estimating sex from the lower and upper limbs based on diaphyseal CSG properties. The proposed method was developed and evaluated using 389 femurs, 412 tibias, and 404 humeri of adult individuals from a m...
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