AIMC Topic: Shoulder

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Deep learning model for classifying shoulder pain rehabilitation exercises using IMU sensor.

Journal of neuroengineering and rehabilitation Mar 27, 2024
BACKGROUND: Artificial intelligence is being used for rehabilitation, including monitoring exercise compliance through sensor technology. AI classification of shoulder exercise wearing an IMU sensor has only been reported in normal (i.e. painless) su...
Aged Aged, 80 and over Adult Artificial Intelligence Female Exercise Therapy Humans Shoulder Shoulder Pain Middle Aged Male Deep Learning
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Trustworthy deep learning framework for the detection of abnormalities in X-ray shoulder images.

PloS one Mar 11, 2024
Musculoskeletal conditions affect an estimated 1.7 billion people worldwide, causing intense pain and disability. These conditions lead to 30 million emergency room visits yearly, and the numbers are only increasing. However, diagnosing musculoskelet...
Musculoskeletal Diseases Shoulder X-Rays Deep Learning Humans Arthritis Emergency Service, Hospital
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Deep-learning-based image quality enhancement of CT-like MR imaging in patients with suspected traumatic shoulder injury.

European journal of radiology Dec 2, 2023
PURPOSE: To evaluate the diagnostic performance of CT-like MR images reconstructed with an algorithm combining compressed sense (CS) with deep learning (DL) in patients with suspected osseous shoulder injury compared to conventional CS-reconstructed ...
Tomography, X-Ray Computed Female Adult Humans Magnetic Resonance Imaging Fractures, Bone Image Enhancement Deep Learning Imaging, Three-Dimensional Middle Aged Shoulder Shoulder Injuries
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Reconstruction of shoulder MRI using deep learning and compressed sensing: a validation study on healthy volunteers.

European radiology experimental Oct 26, 2023
BACKGROUND: To investigate the potential of combining compressed sensing (CS) and deep learning (DL) for accelerated two-dimensional (2D) and three-dimensional (3D) magnetic resonance imaging (MRI) of the shoulder.
Shoulder Humans Deep Learning Magnetic Resonance Imaging Imaging, Three-Dimensional Healthy Volunteers
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Preliminary exploration of deep learning-assisted recognition of superior labrum anterior and posterior lesions in shoulder MR arthrography.

International orthopaedics Sep 20, 2023
PURPOSE: MR arthrography (MRA) is the most accurate method for preoperatively diagnosing superior labrum anterior-posterior (SLAP) lesions, but diagnostic results can vary considerably due to factors such as experience. In this study, deep learning w...
Humans Retrospective Studies Shoulder Joint Arthrography Shoulder Deep Learning Reproducibility of Results Shoulder Injuries Magnetic Resonance Imaging Sensitivity and Specificity Arthroscopy
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Deep learning for automated measurement of CSA related acromion morphological parameters on anteroposterior radiographs.

European journal of radiology Sep 9, 2023
BACKGROUND: The Critical Shoulder Angle Related Acromion Morphological Parameter (CSA- RAMP) is a valuable tool in the analyzing the etiology of the rotator cuff tears (RCTs). However, its clinical application has been limited by the time-consuming a...
Shoulder Shoulder Joint Acromion Radiography Rotator Cuff Injuries Humans Deep Learning
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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 (...
Shoulder Fractures Scapula Humans Deep Learning Shoulder Clavicle Thoracic Injuries Humerus
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Shoulder Range of Motion Measurement Using Inertial Measurement Unit-Validation with a Robot Arm.

Sensors (Basel, Switzerland) Jun 6, 2023
The invention of inertial measurement units allowed the construction of sensors suitable for human motion tracking that are more affordable than expensive optical motion capture systems, but there are a few factors influencing their accuracy, such as...
Range of Motion, Articular Shoulder Movement Robotics Rotation Motion Humans Biomechanical Phenomena
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Deep learning algorithm for predicting subacromial motion trajectory: Dynamic shoulder ultrasound analysis.

Ultrasonics May 30, 2023
Subacromial motion metrics can be extracted from dynamic shoulder ultrasonography, which is useful for identifying abnormal motion patterns in painful shoulders. However, frame-by-frame manual labeling of anatomical landmarks in ultrasound images is ...
Humans Deep Learning Shoulder Joint Shoulder Ultrasonography Shoulder Impingement Syndrome
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Comparison of deep learning-based reconstruction of PROPELLER Shoulder MRI with conventional reconstruction.

Skeletal radiology Mar 21, 2023
OBJECTIVE: To compare the image quality and agreement among conventional and accelerated periodically rotated overlapping parallel lines with enhanced reconstruction (PROPELLER) MRI with both conventional reconstruction (CR) and deep learning-based r...
Shoulder Humans Signal-To-Noise Ratio Deep Learning Magnetic Resonance Imaging Artifacts
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