AIMC Topic: Arthroplasty, Replacement, Shoulder

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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 ...
Anatomic Landmarks Shoulder Joint Humerus Scapula Arthroplasty, Replacement, Shoulder Female Male Deep Learning Radiography Humans
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A machine learning prediction model for total shoulder arthroplasty procedure duration: an evaluation of surgeon, patient, and shoulder-specific factors.

Journal of shoulder and elbow surgery Dec 21, 2024
BACKGROUND: Operating room efficiency is of paramount importance for scheduling, cost efficiency, and to allow for the high operating volume required to address the growing demand for arthroplasty. The purpose of this study was to develop a machine l...
Humans Machine Learning Retrospective Studies Middle Aged Operative Time Shoulder Joint Arthroplasty, Replacement, Shoulder Female Aged Male
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Can computer vision / artificial intelligence locate key reference points and make clinically relevant measurements on axillary radiographs?

International orthopaedics Nov 12, 2024
PURPOSE: Computer vision and artificial intelligence (AI) offer the opportunity to rapidly and accurately interpret standardized x-rays. We trained and validated a machine learning tool that identified key reference points and determined glenoid retr...
Female Male Axilla Radiography Humans Artificial Intelligence Machine Learning Shoulder Joint Arthroplasty, Replacement, Shoulder
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Can ChatGPT reliably answer the most common patient questions regarding total shoulder arthroplasty?

Journal of shoulder and elbow surgery Oct 16, 2024
BACKGROUND: Increasingly, patients are turning to artificial intelligence (AI) programs such as ChatGPT to answer medical questions either before or after consulting a physician. Although ChatGPT's popularity implies its potential in improving patien...
Arthroplasty, Replacement, Shoulder Humans Artificial Intelligence Surveys and Questionnaires Generative Artificial Intelligence Patient Education as Topic
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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 ...
Shoulder Joint Humerus Arthroplasty, Replacement, Shoulder Middle Aged Cadaver Calibration Bone Density Retrospective Studies Tomography, X-Ray Computed Female Aged Aged, 80 and over Male Humans Machine Learning
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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 Aug 1, 2024
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...
Linear Models Shoulder Joint Arthroplasty, Replacement, Shoulder Shoulder Prosthesis Male Middle Aged Prosthesis Design Artificial Intelligence Machine Learning Algorithms Retrospective Studies Female Aged Aged, 80 and over Humans
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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 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 Retrospective Studies Female Aged Male Middle Aged Postoperative Complications Arthroplasty, Replacement, Shoulder Prosthesis Design Shoulder Prosthesis Polyethylene Humans Shoulder Joint
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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...
Linear Models Shoulder Joint Humans Arthroplasty, Replacement, Shoulder Support Vector Machine Female Machine Learning Predictive Value of Tests Aged Algorithms Range of Motion, Articular Male Retrospective Studies Middle Aged
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Deep learning to automatically classify very large sets of preoperative and postoperative shoulder arthroplasty radiographs.

Journal of shoulder and elbow surgery Oct 23, 2023
BACKGROUND: Joint arthroplasty registries usually lack information on medical imaging owing to the laborious process of observing and recording, as well as the lack of standard methods to transfer the imaging information to the registries, which can ...
Radiography Humans Shoulder Joint Arthroplasty, Replacement, Shoulder Artificial Intelligence Retrospective Studies Deep Learning
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Exactech Equinoxe anatomic versus reverse total shoulder arthroplasty for primary osteoarthritis: case controlled comparisons using the machine learning-derived Shoulder Arthroplasty Smart score.

Journal of shoulder and elbow surgery Oct 29, 2022
BACKGROUND: The role of reverse total shoulder arthroplasty (rTSA) for glenohumeral osteoarthritis (GHOA) with an intact rotator cuff remains unclear with prior investigations demonstrating similar patient-reported outcome measures (PROMs) to anatomi...
Case-Control Studies Osteoarthritis Range of Motion, Articular Patient Reported Outcome Measures Humans Female Shoulder Joint Machine Learning Aged Arthroplasty, Replacement, Shoulder Retrospective Studies Male Middle Aged
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