AIMC Topic: Shoulder Joint
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Automatic quantification of scapular and glenoid morphology from CT scans using deep learning.
European journal of radiology
Jun 25, 2024
OBJECTIVES: To develop and validate an open-source deep learning model for automatically quantifying scapular and glenoid morphology using CT images of normal subjects and patients with glenohumeral osteoarthritis.
Shoulder arthroscopy: Where we come from, where we are now and what is ahead. How artificial intelligence and machine-learning technologies will transform our field.
Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA
Jun 19, 2024
A portable inflatable soft wearable robot to assist the shoulder during industrial work.
Science robotics
Jun 12, 2024
Repetitive overhead tasks during factory work can cause shoulder injuries resulting in impaired health and productivity loss. Soft wearable upper extremity robots have the potential to be effective injury prevention tools with minimal restrictions us...
The relationship between design-based lateralization, humeral bearing design, polyethylene angle, and patient-related factors on surgical complications after reverse shoulder arthroplasty: a machine learning analysis.
Journal of shoulder and elbow surgery
Jun 8, 2024
BACKGROUND: Technological advancements in implant design and surgical technique have focused on diminishing complications and optimizing performance of reverse shoulder arthroplasty (rTSA). Despite this, there remains a paucity of literature correlat...
Machine-learning models for diagnosis of rotator cuff tears in osteoporosis patients based on anteroposterior X-rays of the shoulder joint.
SLAS technology
May 23, 2024
OBJECTIVE: This study aims to diagnose Rotator Cuff Tears (RCT) and classify the severity of RCT in patients with Osteoporosis (OP) through the analysis of shoulder joint anteroposterior (AP) X-ray-based localized proximal humeral bone mineral densit...
Estimation of Shoulder Joint Rotation Angle Using Tablet Device and Pose Estimation Artificial Intelligence Model.
Sensors (Basel, Switzerland)
May 2, 2024
Traditionally, angle measurements have been performed using a goniometer, but the complex motion of shoulder movement has made these measurements intricate. The angle of rotation of the shoulder is particularly difficult to measure from an upright po...
Enhanced bone assessment of the shoulder using zero-echo time MRI with deep-learning image reconstruction.
Skeletal radiology
Apr 24, 2024
OBJECTIVES: To assess a deep learning-based reconstruction algorithm (DLRecon) in zero echo-time (ZTE) MRI of the shoulder at 1.5 Tesla for improved delineation of osseous findings.
Artificial intelligence in shoulder and elbow surgery: overview of current and future applications.
Journal of shoulder and elbow surgery
Mar 1, 2024
Artificial intelligence (AI) is amongst the most rapidly growing technologies in orthopedic surgery. With the exponential growth in healthcare data, computing power, and complex predictive algorithms, this technology is poised to aid providers in dat...
Machine learning can predict anterior elevation after reverse total shoulder arthroplasty: A new tool for daily outpatient clinic?
Musculoskeletal surgery
Jan 24, 2024
The aim of the present study was to individuate and compare specific machine learning algorithms that could predict postoperative anterior elevation score after reverse shoulder arthroplasty surgery at different time points. Data from 105 patients wh...
Glenohumeral joint force prediction with deep learning.
Journal of biomechanics
Jan 12, 2024
Deep learning models (DLM) are efficient replacements for computationally intensive optimization techniques. Musculoskeletal models (MSM) typically involve resource-intensive optimization processes for determining joint and muscle forces. Consequentl...
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