AIMC Topic: Shoulder Fractures

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Detection, classification, and characterization of proximal humerus fractures on plain radiographs.

The bone & joint journal Nov 1, 2024
AIMS: The purpose of this study was to develop a convolutional neural network (CNN) for fracture detection, classification, and identification of greater tuberosity displacement ≥ 1 cm, neck-shaft angle (NSA) ≤ 100°, shaft translation, and articular ...
Middle Aged Neural Networks, Computer Radiography Algorithms Humans Female Tomography, X-Ray Computed Shoulder Fractures Aged Male
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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...
Humans Finite Element Analysis Shoulder Fractures Bone Screws Neural Networks, Computer Stress, Mechanical Fracture Fixation, Internal Humerus
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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 (...
Humans Thoracic Injuries Deep Learning Scapula Clavicle Shoulder Humerus Shoulder Fractures
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Comparison of state-of-the-art machine and deep learning algorithms to classify proximal humeral fractures using radiology text.

European journal of radiology May 20, 2022
INTRODUCTION: Proximal humeral fractures account for a significant proportion of all fractures. Detailed accurate classification of the type and severity of the fracture is a key component of clinical decision making, treatment and plays an important...
Radiography Radiology Shoulder Fractures Humans Algorithms Adult Deep Learning
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Automated detection and classification of the proximal humerus fracture by using deep learning algorithm.

Acta orthopaedica Mar 26, 2018
Background and purpose - We aimed to evaluate the ability of artificial intelligence (a deep learning algorithm) to detect and classify proximal humerus fractures using plain anteroposterior shoulder radiographs. Patients and methods - 1,891 images (...
Arthrography Middle Aged Humans Shoulder Fractures Algorithms Female Adult Aged Male Aged, 80 and over Young Adult Deep Learning Area Under Curve
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Effectiveness of robot-assisted training added to conventional rehabilitation in patients with humeral fracture early after surgical treatment: protocol of a randomised, controlled, multicentre trial.

Trials Dec 6, 2017
BACKGROUND: The incidence of proximal humeral fractures increases with age. The functional recovery of the upper arm after such fractures is slow, and results are often disappointing. Treatment is associated with long immobilisation periods. Evidence...
Pain Measurement Disability Evaluation Single-Blind Method Range of Motion, Articular Germany Humans Shoulder Joint Radiotherapy, Computer-Assisted Research Design Recovery of Function Biomechanical Phenomena Time Factors Shoulder Fractures Prospective Studies Robotics Male Treatment Outcome Occupational Therapy Female Motor Activity Middle Aged Fracture Fixation Aged Physical Therapy Modalities Adult Clinical Protocols
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Using Deep Learning to Suggest Treatment for Proximal Humerus Fractures.

Studies in health technology and informatics Nov 22, 2024
Proximal humeral fractures are among the most common fractures seen in emergency departments. Accurately diagnosing and selecting the most appropriate treatment for these fractures can be challenging, and consultation with a senior orthopedic surgeon...
Emergency Service, Hospital Shoulder Fractures Humans Reproducibility of Results Deep Learning Decision Support Systems, Clinical
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Robotic Assessment of Upper Limb Function after Proximal Humeral Fracture: Personal Experience as A Patient and Occupational Therapist.

The Keio journal of medicine Jan 1, 2016
Robotics is an emerging field in rehabilitation medicine. Robots have the potential to complement traditional clinical assessments because they can measure functions more precisely and quantitatively than current clinical assessments. We present a pa...
Occupational Therapists Shoulder Fractures Adult Shoulder Humans Muscle Strength Robotics Locomotion Female Recovery of Function Activities of Daily Living Exoskeleton Device Range of Motion, Articular
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