The goal of shoulder arthroplasty is to improve comfort and function for a variety of degenerative conditions. Shoulder surgeons who engage an increasingly complex array of clinical problems must understand the factors that may negatively impact results and lead to a higher risk of complications. A better understanding of risk factors will help not only educate patients about potential adverse outcomes, but it also leads to improved ways to mitigate complications by addressing their root cause where possible.
The World’s First Machine Learning-Derived Outcome Measure
Shoulder Arthroplasty Smart Score: The World’s First Machine Learning-Derived Outcome Measure | Surgeons and researchers worldwide can now quantify shoulder patient outcomes with a new, more efficient measure called “Smart Score”.
How GPS Navigation for Shoulder Arthroplasty Changed My Practice
Scott Trenhaile, MD As I look back on my career in orthopaedics, the journey has not been one that I would have ever predicted. I completed a sports medicine/upper extremity fellowship…
Read More 
The Importance of Educating Patients on Expected Glenoid Wear and Consequences of Its Progression
Kaveh Sajadi, MD Read complete study: Natural history of glenoid bone loss in primary glenohumeral osteoarthritis: how does bone loss progress over a decade? When it comes to shoulder arthritis,…
Read More 
The Goal? Accurate Placement of the Glenoid Component.
Computer navigation leads to more accurate glenoid targeting during Total Shoulder Arthroplasty (TSA) compared with three-dimensional (3D) preoperative planning alone.
The Power of Data Collection
With 35 collection sites across the United States and Europe, the Equinoxe database includes information on demographics, comorbidities, implant specifics, 7 PROMs, ROM, radiographic data, and complications—all using standardized forms—for more than 10,000 shoulder cases. This multi-center collection using standardized forms creates the volume of evidence needed to produce the necessary statistical power for accurate analysis of the data.
Creating Efficiency in the O.R. with Streamlined Instrument Sets
The number of total joint replacements is growing rapidly, and the current trend suggests that the number of total joints performed will double by 2030.
Multilevel Modeling of Resection Accuracy: Insights from 10,144 Clinical Cases using A Contemporary Computer-Assisted Total Knee Arthroplasty System (Abridged Version)
As a successful treatment for advanced inflammatory and degenerative knee arthritis, total knee arthroplasty (TKA) is projected to expand by 600% to more than three million cases annually by 2030.
Total Knee Arthroplasty with CAOS Augmentation
A recent technology added CAOS augmentation to conventional mechanical instruments, removing the need for significant instrument relearning. The system has been shown to have a minimal learning curve and offers good usability and has been demonstrated to be non-disruptive to the surgical flow during its early adoption, reported by a subjective survey of users.
CAOS Augmented Mechanical Instrumentation Provides Versatility and Improved Accuracy During Total Knee Arthroplasty
Accurate positioning of the knee prosthesis is critical for the success of total knee arthroplasty (TKA). However, with mechanical (neutral) alignment surgical philosophy, only 70-80% of the conventional TKA cases can achieve satisfactory accuracy (within ±3° of varus/valgus relative to the mechanical axis).