Modern Applications of Machine Learning in Shoulder Arthroplasty: A Review

AV Patel, AJ Stevens, N Mallory, D Gibbs… - JBJS …, 2023 - journals.lww.com
Modern Applications of Machine Learning in Shoulder Arthropl... : JBJS Reviews Modern
Applications of Machine Learning in Shoulder Arthroplasty: A Review : JBJS Reviews JBJS …

[HTML][HTML] Influential articles on shoulder arthroplasty: bibliometric analysis and visualized study

B Shu, X Ou, L Hu - Journal of Shoulder and Elbow Surgery, 2023 - Elsevier
Background Shoulder arthroplasty is a notable area with research interest in orthopedics
owing to the increasing global demand and technical development. Over the past decades …

Understanding risk for early dislocation resulting in reoperation within 90 days of reverse total shoulder arthroplasty: extreme rare event detection through cost …

JF Oeding, Y Lu, A Pareek, EM Marigi… - Journal of Shoulder and …, 2023 - Elsevier
Background Reliable prediction of postoperative dislocation after reverse total shoulder
arthroplasty (RSA) would inform patient counseling as well as surgical and postoperative …

[HTML][HTML] Research on artificial intelligence in shoulder and elbow surgery is increasing

P Gupta, EM Marigi, J Sanchez-Sotelo - JSES international, 2023 - Elsevier
Background Total health care spending in the United States is increasing. In order to
improve our delivery of high-quality, patient-centric, and cost-effective care, artificial …

[HTML][HTML] The geriatric nutritional risk index as a strong predictor of adverse outcomes following total shoulder arthroplasty

SH Liu, P Cerri-Droz, RA Loyst, B Lung, K Kashanchi… - JSES …, 2024 - Elsevier
Background This study investigates the association between the Geriatric Nutritional Risk
Index (GNRI), a simple readily available measure of malnutrition risk, and 30-day …

Machine learning: the what, why, and how

PJ Chabot, CM Cirino, LV Gulotta - Seminars in Arthroplasty: JSES, 2023 - Elsevier
There is a growing interest in the ability of machine learning to predict outcomes in shoulder
arthroplasty. Machine learning is the use of computer systems that can adapt and learn by …

Classifying humerus fracture using x-ray images

TA Sumi, N Basnin, MS Hossain, K Andersson… - The Fourth Industrial …, 2023 - Springer
Bone is the most important part of our body which holds the whole structure of human body.
The long bone situated in the upper arm of human body between the shoulder and elbow …

Artificial intelligence in shoulder and elbow surgery: overview of current and future applications

JM Levin, SG Lorentz, ET Hurley, J Lee… - Journal of Shoulder and …, 2024 - Elsevier
Artificial intelligence (AI) is amongst the most rapidly growing technologies in orthopedic
surgery. With the exponential growth in healthcare data, computing power, and complex …

[HTML][HTML] Current clinical applications of artificial intelligence in shoulder surgery: what the busy shoulder surgeon needs to know and what's coming next

R de Marinis, EM Marigi, Y Atwan, L Yang… - JSES reviews, reports …, 2023 - Elsevier
Background Artificial intelligence (AI) is a continuously expanding field with the potential to
transform a variety of industries-including healthcare-by providing automation, efficiency …

A Preoperative Risk Assessment Tool for Predicting Adverse Outcomes among Total Shoulder Arthroplasty Patients

TAG Health, CSSVB Care, AZ Khan… - Journal of Shoulder and …, 2024 - Elsevier
Background With the increased utilization of Total Shoulder Arthroplasty (TSA) in the
outpatient setting, understanding the risk factors associated with complications and hospital …