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Shoulder Prosthesis

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A Robotic Glenohumeral Simulator for Investigating Prosthetic Implant Subluxation.

Journal of biomechanical engineering 31369668
Total shoulder arthroplasty (TSA) is an effective treatment for glenohumeral (GH) osteoarthritis. However, it still suffers from a substantial rate of mechanical failure, which may be related to cyclic off-center loading of the humeral head on the gl...
Arthroplasty, Replacement, Shoulder Biomechanical Phenomena Humans Mechanical Phenomena Robotics Shoulder Joint Shoulder Prosthesis
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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 38852709
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...
Aged Arthroplasty, Replacement, Shoulder Female Humans Machine Learning Male Middle Aged Polyethylene Postoperative Complications Prosthesis Design Retrospective Studies Shoulder Joint Shoulder Prosthesis
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Artificial Intelligence Machine Learning Algorithms Versus Standard Linear Demographic Analysis in Predicting Implant Size of Anatomic and Reverse Total Shoulder Arthroplasty.

Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews 39106479
BACKGROUND: Accurate and precise templating is paramount for anatomic total shoulder arthroplasty (TSA) and reverse total shoulder arthroplasty (RSA) to enhance preoperative planning, streamline surgery, and improve implant positioning. We aimed to e...
Aged Aged, 80 and over Algorithms Arthroplasty, Replacement, Shoulder Artificial Intelligence Female Humans Linear Models Machine Learning Male Middle Aged Prosthesis Design Retrospective Studies Shoulder Joint Shoulder Prosthesis
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CT metal artefact reduction for hip and shoulder implants using novel algorithms and machine learning: A systematic review with pairwise and network meta-analyses.

Radiography (London, England : 1995) 39509906
INTRODUCTION: Many tools have been developed to reduce metal artefacts in computed tomography (CT) images resulting from metallic prosthesis; however, their relative effectiveness in preserving image quality is poorly understood. This paper reviews t...
Algorithms Artifacts Hip Prosthesis Humans Machine Learning Metals Shoulder Prosthesis Tomography, X-Ray Computed
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